Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['sheets', 'mop', 'microwave', 'ground_coffee', 'walllamp', 'cat', 'trashcan', 'knifeblock', 'cpuscreen', 'floor', 'ceiling', 'bedroom', 'toaster', 'brush', 'tvstand', 'shower', 'faucet', 'food_jam', 'wall', 'nightstand', 'photoframe', 'coffe_maker', 'mouthwash', 'coffee_filter', 'curtain', 'doorjamb', 'kitchen_counter', 'cupboard', 'dishwasher', 'scrabble']
Task:Make coffee
response:
{
    "thoughts": Make coffee in the kitchen.,
    "actions": ['[WALK] <dining_room>', '[WALK] <coffe_maker>', '[FIND] <coffe_maker>', '[PLUGIN] <coffe_maker>', '[OPEN] <coffe_maker>', '[FIND] <coffee_filter>', '[GRAB] <coffee_filter>', '[PUTBACK] <coffee_filter> <coffe_maker>', '[FIND] <ground_coffee>', '[GRAB] <ground_coffee>', '[PUTBACK] <ground_coffee> <coffe_maker>', '[CLOSE] <coffe_maker>', '[SWITCHON] <coffe_maker>']
}

Input:
Scene_Objects:['pot', 'food_ice_cream', 'microwave', 'walllamp', 'bathroom', 'cat', 'trashcan', 'knifeblock', 'hanger', 'floor', 'faucet', 'shower', 'clothes_hat', 'wall', 'nightstand', 'tape', 'cup', 'food_food', 'water', 'tray', 'diary', 'pencil', 'kitchen_counter', 'headset', 'hairbrush', 'cupboard', 'hair', 'sink', 'instrument_guitar', 'soap']
Task:Drink
response:

Walk to kitchen, grab a glass, walk to sink, turn on tap and pour water into glass, drink from glass.

[WALK] <dining_room>
[WALK] <cup>
[FIND] <cup>
[GRAB] <cup>
[WALK] <sink>
[WALK] <water>
[FIND] <water>
[GRAB] <water>
[POUR] <water> <cup>
[DRINK] <cup>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['tablelamp', 'toilet', 'freezer', 'bathroom', 'orchid', 'phone', 'dvd_player', 'character', 'bedroom', 'ceilinglamp', 'balanceball', 'iron', 'window', 'couch', 'food_orange', 'wall', 'tape', 'cup', 'basket_for_clothes', 'check', 'wooden_spoon', 'console', 'mouse', 'kitchen_counter', 'hairbrush', 'food_steak', 'sink', 'home_office', 'soap', 'hands_both']
Task:Wash hands
response:
{
    "thoughts": Wash hands with soap,
    "actions": ['[WALK] <bathroom>', '[WALK] <soap>', '[FIND] <soap>', '[GRAB] <soap>', '[FIND] <hands_both>', '[SCRUB] <hands_both>', '[WASH] <hands_both>', '[RINSE] <hands_both>']
}

Input:
Scene_Objects:['pot', 'microwave', 'walllamp', 'trashcan', 'knifeblock', 'bathroom_counter', 'floor', 'mop_bucket', 'table_cloth', 'toaster', 'stovefan', 'plate', 'microphone', 'clothes_pants', 'dining_room', 'wall', 'pasta', 'cup', 'coffe_maker', 'food_food', 'mouse', 'kitchen_counter', 'cupboard', 'hair', 'sink', 'home_office', 'light', 'dishwasher', 'colander', 'tooth_paste']
Task:Wash dishes with dishwasher
response:

Walk to Kitchen, find dishwasher. Find vessels to be washed. Open dishwasher, put vessels in dish washer, close dish washer and switch it on.

[WALK] <dining_room>
[WALK] <dishwasher>
[FIND] <dishwasher>
[OPEN] <dishwasher>
[FIND] <cup>
[GRAB] <cup>
[PUTBACK] <cup> <dishwasher>
[FIND] <plate>
[GRAB] <plate>
[GRAB] <cup>
[PUTBACK] <cup> <plate>
[GRAB] <cup>
[PUTBACK] <cup> <dishwasher>
[CLOSE] <dishwasher>
[SWITCHON] <dishwasher>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['spectacles', 'microwave', 'chair', 'freezer', 'walllamp', 'detergent', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'mat', 'ceilinglamp', 'tvstand', 'stereo', 'mousepad', 'closetdrawer', 'pillow', 'wall', 'television', 'curtain', 'doorjamb', 'mouse', 'dresser', 'door', 'bag', 'light', 'table']
Task:Turn on computer
response:
{
    "thoughts": Press the power button on the computer to turn it on,
    "actions": ['[WALK] <home_office>', '[WALK] <computer>', '[SWITCHON] <computer>']
}

Input:
Scene_Objects:['chair', 'jelly', 'walllamp', 'dough', 'cpuscreen', 'hanger', 'floor', 'ceiling', 'character', 'desk', 'stamp', 'keyboard', 'food_cake', 'computer', 'mop_bucket', 'mat', 'tvstand', 'mousepad', 'dining_room', 'wall', 'bench', 'toy', 'food_cheese', 'novel', 'curtain', 'mouse', 'shoes', 'sink', 'table', 'creditcard']
Task:Read book
response:

I walk to home office and search for a book, and sit to the chair with a table, and start reading.

[WALK] <home_office>
[WALK] <chair>
[FIND] <chair>
[SIT] <chair>
[FIND] <novel>
[GRAB] <novel>
[READ] <novel>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['chair', 'walllamp', 'orchid', 'drawing', 'wallshelf', 'cpuscreen', 'floor', 'ceiling', 'bedroom', 'bookshelf', 'stovefan', 'mat', 'tvstand', 'ceilinglamp', 'shower', 'window', 'picture', 'mousepad', 'pillow', 'wall', 'nightstand', 'powersocket', 'photoframe', 'television', 'curtain', 'doorjamb', 'towel_rack', 'dresser', 'bathroom_cabinet', 'light']
Task:Watch TV
response:
{
    "thoughts": Go to entrance hall, switch on TV, sit back in a chair and using remote watch your favorite program.,
    "actions": ['[WALK] <home_office>', '[WALK] <television>', '[FIND] <television>', '[SWITCHON] <television>', '[WALK] <chair>', '[SIT] <chair>', '[TURNTO] <television>', '[WATCH] <television>', '[SWITCHOFF] <television>']
}

Input:
Scene_Objects:['sheets', 'filing_cabinet', 'crayon', 'dog', 'freezer', 'knife', 'orchid', 'bathroom_counter', 'character', 'bedroom', 'faucet', 'couch', 'food_orange', 'towel', 'nightstand', 'oven', 'powersocket', 'photoframe', 'check', 'video_game_controller', 'food_donut', 'food_rice', 'food_onion', 'diary', 'dresser', 'hairbrush', 'clothes_scarf', 'napkin', 'bathroom_cabinet', 'colander']
Task:Pet cat
response:

Walk into the living room. Walk up to the cat. Pet the cat with your hand.

[WALK] <home_office>
[WALK] <cat>
[FIND] <cat>
[TOUCH] <cat>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['food_salt', 'toilet', 'dog', 'freezer', 'drawing', 'cpuscreen', 'phone', 'tea_bag', 'food_bacon', 'stovefan', 'mat', 'ceilinglamp', 'window', 'oil', 'food_orange', 'food_cheese', 'clothes_gloves', 'toilet_paper', 'food_food', 'television', 'coffee_filter', 'check', 'curtain', 'kettle', 'mouse', 'food_steak', 'spoon', 'instrument_guitar', 'light', 'dishwasher']
Task:Walk to room
response:
{
    "thoughts": Leave the living room and enter the hall,
    "actions": ['[WALK] <home_office>', '[WALK] <home_office>']
}

Input:
Scene_Objects:['pot', 'water_glass', 'dog', 'walllamp', 'knifeblock', 'bills', 'floor', 'ceiling', 'stovefan', 'brush', 'mat', 'faucet', 'homework', 'wall', 'pasta', 'oven', 'powersocket', 'food_food', 'water', 'tray', 'coffee_pot', 'mouse', 'kitchen_counter', 'cupboard', 'sink', 'napkin', 'table', 'board_game', 'clothes_shirt', 'dirt']
Task:Drink
response:

I walk to the kitchen. open the cupboard. Find the water glass, grab it. Fill the glass with water and drink water.

[WALK] <dining_room>
[WALK] <cupboard>
[FIND] <cupboard>
[OPEN] <cupboard>
[FIND] <water_glass>
[GRAB] <water_glass>
[WALK] <water>
[FIND] <water>
[GRAB] <water>
[POUR] <water> <water_glass>
[DRINK] <water_glass>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['filing_cabinet', 'toilet', 'bathroom', 'trashcan', 'drawing', 'orchid', 'wallshelf', 'floor', 'bedroom', 'bookshelf', 'keyboard', 'computer', 'couch', 'pillow', 'wall', 'wall_clock', 'powersocket', 'oven', 'photoframe', 'novel', 'check', 'television', 'curtain', 'doorjamb', 'towel_rack', 'kitchen_counter', 'cupboard', 'bathroom_cabinet', 'light', 'table']
Task:Read
response:
{
    "thoughts": Read a book in the living room,
    "actions": ['[WALK] <home_office>', '[WALK] <filing_cabinet>', '[OPEN] <filing_cabinet>', '[FIND] <novel>', '[GRAB] <novel>', '[CLOSE] <filing_cabinet>', '[READ] <novel>']
}

Input:
Scene_Objects:['filing_cabinet', 'chair', 'walllamp', 'toothbrush', 'drawing', 'orchid', 'bathroom_counter', 'floor', 'ceiling', 'bedroom', 'remote_control', 'clothes_jacket', 'ceilinglamp', 'tvstand', 'mat', 'picture', 'window', 'faucet', 'couch', 'clothes_hat', 'pillow', 'food_kiwi', 'wall', 'powersocket', 'television', 'curtain', 'doorjamb', 'door', 'table', 'light']
Task:Relax on sofa
response:

Go into the living room. Walk over to the sofa. Lie down on the sofa. Turn on and watch TV.

[WALK] <home_office>
[WALK] <couch>
[LIE] <couch>
[FIND] <remote_control>
[GRAB] <remote_control>
[FIND] <television>
[SWITCHON] <television>
[TURNTO] <television>
[WATCH] <television>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['sheets', 'filing_cabinet', 'juice', 'microwave', 'chair', 'walllamp', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'desk', 'bedroom', 'keyboard', 'computer', 'ceilinglamp', 'mat', 'shower', 'faucet', 'window', 'mousepad', 'food_orange', 'wall', 'television', 'curtain', 'after_shave', 'mouse', 'dresser', 'door', 'napkin', 'table']
Task:Clean screen
response:
{
    "thoughts": Use a soft rag to wipe the screen until there are no marks on it.,
    "actions": ['[WALK] <home_office>', '[WALK] <rag>', '[FIND] <rag>', '[GRAB] <rag>', '[WALK] <computer>', '[WIPE] <computer>', '[PUTOBJBACK] <rag>']
}

Input:
Scene_Objects:['sponge', 'microwave', 'walllamp', 'trashcan', 'drawing', 'floor', 'ceiling', 'button', 'toaster', 'window', 'mousepad', 'clothes_pants', 'wall', 'basket_for_clothes', 'coffe_maker', 'check', 'television', 'toothbrush_holder', 'ice', 'diary', 'mouse', 'kitchen_counter', 'vacuum_cleaner', 'cupboard', 'pajamas', 'napkin', 'coffee_cup', 'dishwasher', 'soap', 'coffee']
Task:Make coffee
response:

Walk to the kitchen at the coffee maker, grab coffee, pour coffee into coffee maker, put coffee into coffee maker, push coffee maker's button, wait to complete, grab coffee cup

[WALK] <dining_room>
[WALK] <coffe_maker>
[FIND] <coffee>
[GRAB] <coffee>
[OPEN] <coffe_maker>
[POUR] <coffee> <coffe_maker>
[FIND] <coffee_cup>
[GRAB] <coffee_cup>
[PUTBACK] <coffee_cup> <coffe_maker>
[FIND] <button>
[PUSH] <button>
[GRAB] <coffee_cup>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['fork', 'pot', 'toilet', 'chair', 'freezer', 'food_butter', 'food_carrot', 'drawing', 'floor', 'ceiling', 'keyboard', 'mat', 'ceilinglamp', 'shower', 'oil', 'food_peanut_butter', 'food_orange', 'nightstand', 'wall', 'powersocket', 'photoframe', 'food_food', 'food_onion', 'doorjamb', 'pencil', 'dresser', 'door', 'napkin', 'light', 'shoe_rack']
Task:Put groceries in Fridge
response:
{
    "thoughts": put away groceries in fridge. open the door, put on shelf, close the door.,
    "actions": ['[WALK] <dining_room>', '[WALK] <freezer>', '[FIND] <freezer>', '[OPEN] <freezer>', '[FIND] <food_food>', '[GRAB] <food_food>', '[PUTIN] <food_food> <freezer>', '[CLOSE] <freezer>']
}

Input:
Scene_Objects:['sheets', 'pot', 'drawing', 'knifeblock', 'cpuscreen', 'bathroom_counter', 'floor', 'ceiling', 'phone', 'mat', 'faucet', 'couch', 'dining_room', 'wall', 'newspaper', 'toilet_paper', 'television', 'oven_mitts', 'water', 'tray', 'vacuum_cleaner', 'controller', 'door', 'sink', 'napkin', 'bathroom_cabinet', 'instrument_guitar', 'light', 'soap', 'teeth']
Task:Wash teeth
response:

[WALK] <bathroom>
[WALK] <faucet>
[FIND] <faucet>
[SWITCHON] <faucet>
[FIND] <water>
[TURNTO] <water>
[POINTAT] <water>
[FIND] <teeth>
[WASH] <teeth>
[SWITCHOFF] <faucet>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['tablelamp', 'blender', 'tea', 'toilet', 'chair', 'freezer', 'drawing', 'knife', 'kitchen_cabinet', 'floor', 'ceiling', 'dvd_player', 'stovefan', 'ceilinglamp', 'mat', 'shower', 'food_jam', 'wall', 'nightstand', 'powersocket', 'cutting_board', 'cup', 'food_vegetable', 'photoframe', 'basket_for_clothes', 'doorjamb', 'mouse', 'door', 'table', 'light']
Task:Chop vegetables
response:
{
    "thoughts": Cut up veggies with knife,
    "actions": ['[WALK] <dining_room>', '[WALK] <kitchen_cabinet>', '[FIND] <kitchen_cabinet>', '[OPEN] <kitchen_cabinet>', '[FIND] <knife>', '[GRAB] <knife>', '[FIND] <cutting_board>', '[GRAB] <cutting_board>', '[CLOSE] <kitchen_cabinet>', '[WALK] <table>', '[PUTBACK] <knife> <table>', '[PUTBACK] <cutting_board> <table>', '[WALK] <freezer>', '[OPEN] <freezer>', '[FIND] <food_vegetable>', '[GRAB] <food_vegetable>', '[CLOSE] <freezer>', '[WALK] <table>', '[PUTBACK] <food_vegetable> <cutting_board>', '[GRAB] <knife>', '[CUT] <food_vegetable>', '[PUTOBJBACK] <knife>']
}

Input:
Scene_Objects:['glue', 'filing_cabinet', 'tablelamp', 'microwave', 'freezer', 'ground_coffee', 'walllamp', 'bathroom', 'trashcan', 'floor', 'ceiling', 'phone', 'computer', 'toaster', 'stovefan', 'homework', 'wall', 'novel', 'coffe_maker', 'television', 'coffee_filter', 'water', 'tray', 'after_shave', 'diary', 'kitchen_counter', 'cupboard', 'laundry_detergent', 'food_steak', 'dishwasher']
Task:Make coffee
response:

Walk to kitchen, open coffee maker, find coffee filter, grab coffee filter, put coffee filter in coffee maker, find ground coffee, put ground coffee in coffee maker, pour water in coffee maker, close coffee maker and switch on coffee maker.

[WALK] <dining_room>
[WALK] <coffe_maker>
[FIND] <coffe_maker>
[OPEN] <coffe_maker>
[FIND] <coffee_filter>
[GRAB] <coffee_filter>
[PUTBACK] <coffee_filter> <coffe_maker>
[FIND] <ground_coffee>
[GRAB] <ground_coffee>
[PUTBACK] <ground_coffee> <coffe_maker>
[WALK] <water>
[FIND] <water>
[GRAB] <water>
[POUR] <water> <coffe_maker>
[CLOSE] <coffe_maker>
[SWITCHON] <coffe_maker>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['sponge', 'microwave', 'knifeblock', 'kitchen_cabinet', 'floor', 'ceiling', 'toaster', 'mat', 'plate', 'faucet', 'window', 'dish_soap', 'food_noodles', 'closetdrawer', 'couch', 'towel', 'dining_room', 'wall', 'wine', 'rag', 'shaving_cream', 'kitchen_counter', 'chessboard', 'dresser', 'cupboard', 'conditioner', 'sink', 'table', 'dishwasher', 'soap']
Task:Wash dishes
response:
{
    "thoughts": Run warm water in the sink. Pour dish washing liquid on the dishes. Pick up dishes and wash them individually with a sponge. Rinse suds off under running water. Dry dishes with towel.,
    "actions": ['[WALK] <dining_room>', '[WALK] <sink>', '[FIND] <faucet>', '[SWITCHON] <faucet>', '[FIND] <dish_soap>', '[GRAB] <dish_soap>', '[FIND] <sponge>', '[GRAB] <sponge>', '[POUR] <dish_soap> <sponge>', '[PUTOBJBACK] <dish_soap>', '[FIND] <plate>', '[GRAB] <plate>', '[SCRUB] <plate>', '[WASH] <plate>', '[RINSE] <plate>', '[RINSE] <sponge>', '[SWITCHOFF] <faucet>', '[PUTOBJBACK] <sponge>', '[FIND] <towel>', '[GRAB] <towel>', '[WIPE] <plate>', '[PUTOBJBACK] <towel>', '[WALK] <kitchen_cabinet>', '[OPEN] <kitchen_cabinet>', '[PUTIN] <plate> <kitchen_cabinet>', '[CLOSE] <kitchen_cabinet>']
}

Input:
Scene_Objects:['toilet', 'walllamp', 'drawing', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'character', 'remote_control', 'stovefan', 'ceilinglamp', 'tvstand', 'mat', 'window', 'couch', 'pillow', 'wall', 'powersocket', 'television', 'tray', 'curtain', 'doorjamb', 'dresser', 'hairbrush', 'clothes_dress', 'door', 'sink', 'spoon', 'table', 'light']
Task:Change TV channel
response:

I walk into the living room. I sit on the couch and grab the remote. Then I turn on the TV and change the channel.

[WALK] <home_office>
[WALK] <couch>
[FIND] <couch>
[SIT] <couch>
[FIND] <remote_control>
[GRAB] <remote_control>
[FIND] <television>
[SWITCHON] <television>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['sheets', 'pot', 'microwave', 'walllamp', 'food_carrot', 'character', 'desk', 'keyboard', 'shower', 'washing_machine', 'window', 'mousepad', 'clothes_pants', 'towel', 'wall', 'powersocket', 'basket_for_clothes', 'check', 'mouthwash', 'food_rice', 'headset', 'chessboard', 'hair', 'napkin', 'table', 'soap', 'scrabble', 'dirt', 'coffee', 'creditcard']
Task:Wash clothes
response:
{
    "thoughts": walk to the bathroom, grab the basket for clothes, find soap, put in washing machine, turn on,
    "actions": ['[WALK] <bathroom>', '[WALK] <basket_for_clothes>', '[FIND] <basket_for_clothes>', '[GRAB] <basket_for_clothes>', '[WALK] <washing_machine>', '[OPEN] <washing_machine>', '[PUTBACK] <basket_for_clothes> <washing_machine>', '[FIND] <soap>', '[GRAB] <soap>', '[WALK] <washing_machine>', '[PUTBACK] <soap> <washing_machine>', '[CLOSE] <washing_machine>', '[SWITCHON] <washing_machine>']
}

Input:
Scene_Objects:['pot', 'walllamp', 'drawing', 'orchid', 'floor', 'ceiling', 'desk', 'bedroom', 'bookshelf', 'remote_control', 'thread', 'brush', 'ceilinglamp', 'tvstand', 'mat', 'toaster', 'clothes_hat', 'dining_room', 'wall', 'powersocket', 'cup', 'photoframe', 'television', 'doorjamb', 'pencil', 'dresser', 'door', 'home_office', 'table', 'light']
Task:Change TV channel
response:

Change the channel on the TV in the living room

[WALK] <home_office>
[WALK] <television>
[FIND] <television>
[SWITCHON] <television>
[FIND] <remote_control>
[GRAB] <remote_control>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['dry_pasta', 'food_bread', 'microwave', 'freezer', 'ground_coffee', 'dough', 'orchid', 'hanger', 'floor', 'ceiling', 'character', 'desk', 'tea_bag', 'toaster', 'faucet', 'shower', 'closetdrawer', 'wall', 'wall_clock', 'powersocket', 'oven', 'cutting_board', 'photoframe', 'coffe_maker', 'coffee_filter', 'water', 'curtain', 'kitchen_counter', 'cupboard', 'sink']
Task:Make coffee
response:
{
    "thoughts": I walk to the kitchen and find the coffee machine. I open the coffee machine and pour a filter in it. I open the cupboard and grab ground coffee. I put ground coffee in the filter and water in the coffee machine. I close the coffee machine. I switch on the coffee machine and wait,
    "actions": ['[WALK] <dining_room>', '[WALK] <coffe_maker>', '[FIND] <coffe_maker>', '[OPEN] <coffe_maker>', '[FIND] <coffee_filter>', '[GRAB] <coffee_filter>', '[PUTBACK] <coffee_filter> <coffe_maker>', '[FIND] <cupboard>', '[OPEN] <cupboard>', '[FIND] <ground_coffee>', '[GRAB] <ground_coffee>', '[PUTBACK] <ground_coffee> <coffe_maker>', '[WALK] <water>', '[FIND] <water>', '[GRAB] <water>', '[POUR] <water> <coffe_maker>', '[CLOSE] <coffe_maker>', '[SWITCHON] <coffe_maker>']
}

Input:
Scene_Objects:['glue', 'filing_cabinet', 'chair', 'walllamp', 'orchid', 'cpuscreen', 'hanger', 'bathroom_counter', 'floor', 'ceiling', 'desk', 'keyboard', 'bookshelf', 'computer', 'ceilinglamp', 'mat', 'shoe-shine_kit', 'mousepad', 'pillow', 'wall', 'powersocket', 'cup', 'bed', 'wooden_spoon', 'coffee_pot', 'mouse', 'kitchen_counter', 'door', 'home_office', 'table']
Task:Write an email
response:

I walk to the Home Office then find the computer and sit in the chair. I switch on the computer and start typing the email. I switch the computer off.

[WALK] <home_office>
[WALK] <computer>
[FIND] <computer>
[FIND] <chair>
[SIT] <chair>
[SWITCHON] <computer>
[TURNTO] <computer>
[LOOKAT] <computer>
[FIND] <keyboard>
[TYPE] <keyboard>
[SWITCHOFF] <computer>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['dry_pasta', 'filing_cabinet', 'freezer', 'walllamp', 'cpuscreen', 'wallshelf', 'ceiling', 'computer', 'shower', 'window', 'mousepad', 'couch', 'dining_room', 'wall_clock', 'oven', 'powersocket', 'bench', 'cup', 'bed', 'photoframe', 'check', 'coffe_maker', 'razor', 'mouse', 'cupboard', 'laundry_detergent', 'door', 'home_office', 'light', 'washing_machine']
Task:Wash clothes
response:
{
    "thoughts": "I walk to entrance hall" "I walk to bedroom" "I find basket of clothes" "I lift basket of  clothes" "I walk to kitchen" "I find washing machine" "I open washing machine " "I put laundry in washing machine" "I add laundry detergent" " "I close washing machine lid" "I switch washing machine on",
    "actions": ['[WALK] <home_office>', '[WALK] <bedroom>', '[WALK] <basket_for_clothes>', '[FIND] <basket_for_clothes>', '[GRAB] <basket_for_clothes>', '[WALK] <dining_room>', '[WALK] <washing_machine>', '[FIND] <washing_machine>', '[OPEN] <washing_machine>', '[PUTBACK] <basket_for_clothes> <washing_machine>', '[FIND] <laundry_detergent>', '[GRAB] <laundry_detergent>', '[PUTBACK] <laundry_detergent> <washing_machine>', '[CLOSE] <washing_machine>', '[TURNTO] <washing_machine>']
}

Input:
Scene_Objects:['sponge', 'pot', 'blender', 'food_ice_cream', 'microwave', 'chair', 'walllamp', 'bathroom', 'trashcan', 'milk', 'floor', 'bedroom', 'computer', 'toaster', 'plate', 'shoe-shine_kit', 'oil', 'wall', 'newspaper', 'coffe_maker', 'tray', 'centerpiece', 'console', 'pencil', 'kitchen_counter', 'cupboard', 'spoon', 'dishwasher', 'laser_pointer', 'clothes_shirt']
Task:Wash dishes with dishwasher
response:

I walk to the kitchen. I take plate. I open the dishwasher. I put plate in the dishwasher. I switch on the dishwasher.

[WALK] <dining_room>
[WALK] <plate>
[FIND] <plate>
[GRAB] <plate>
[WALK] <dishwasher>
[OPEN] <dishwasher>
[PUTBACK] <plate> <dishwasher>
[CLOSE] <dishwasher>
[SWITCHON] <dishwasher>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['filing_cabinet', 'tablelamp', 'microwave', 'chair', 'freezer', 'detergent', 'floor', 'phone', 'ceiling', 'bedroom', 'keyboard', 'stovefan', 'shower', 'faucet', 'window', 'closetdrawer', 'wall', 'wall_clock', 'powersocket', 'bench', 'photoframe', 'coffe_maker', 'check', 'television', 'food_food', 'ice', 'rag', 'towel_rack', 'kitchen_counter', 'cupboard']
Task:Turn on light
response:
{
    "thoughts": I go home and it's dark so I can not see anything,
    "actions": ['[WALK] <home_office>', '[WALK] <floor_lamp>', '[FIND] <floor_lamp>', '[SWITCHON] <floor_lamp>']
}

Input:
Scene_Objects:['sheets', 'pot', 'filing_cabinet', 'toilet', 'food_carrot', 'toothbrush', 'drawing', 'cpuscreen', 'floor', 'bedroom', 'bookshelf', 'thread', 'tvstand', 'shower', 'clothes_pants', 'towel', 'wall', 'pasta', 'bench', 'photoframe', 'light_bulb', 'food_food', 'television', 'curtain', 'doorjamb', 'kettle', 'door', 'sink', 'hairdryer', 'light']
Task:Go to toilet
response:

Walk to the bathroom. Pull down pants. Use the toilet.

[WALK] <bathroom>
[WALK] <clothes_pants>
[FIND] <clothes_pants>
[PULL] <clothes_pants>
[FIND] <toilet>
[SIT] <toilet>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['milk', 'drawing', 'wallshelf', 'hanger', 'floor', 'ceiling', 'phone', 'character', 'bedroom', 'desk', 'brush', 'mat', 'ceilinglamp', 'closetdrawer', 'couch', 'dustpan', 'pillow', 'wall', 'powersocket', 'cup', 'photoframe', 'coffee_filter', 'food_rice', 'doorjamb', 'towel_rack', 'dresser', 'clothes_dress', 'door', 'light', 'table']
Task:Change clothes
response:
{
    "thoughts": Switch your clothes.,
    "actions": ['[WALK] <bedroom>', '[WALK] <dresser>', '[OPEN] <dresser>', '[FIND] <clothes_dress>', '[GRAB] <clothes_dress>', '[PUTON] <clothes_dress>', '[CLOSE] <dresser>']
}

Input:
Scene_Objects:['blender', 'beer', 'freezer', 'trashcan', 'orchid', 'floor', 'ceiling', 'bedroom', 'computer', 'toaster', 'window', 'couch', 'candle', 'dining_room', 'broom', 'oven', 'toy', 'check', 'video_game_controller', 'tray', 'kettle', 'coffee_pot', 'mouse', 'cd', 'cupboard', 'controller', 'bathroom_cabinet', 'light', 'dishwasher', 'laser_pointer']
Task:Browse internet
response:

I pick up my phone. I touch it to navigate to the web browser. I can swipe and tap the screen to visit different websites. Then I read or watch the content within those websites.

[WALK] <home_office>
[WALK] <phone>
[FIND] <phone>
[GRAB] <phone>
[TOUCH] <phone>
[TURNTO] <phone>
[LOOKAT] <phone>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['pot', 'microwave', 'jelly', 'freezer', 'walllamp', 'drawing', 'character', 'tea_bag', 'stovefan', 'mat', 'tvstand', 'stereo', 'shoe-shine_kit', 'window', 'ceilinglamp', 'dustpan', 'food_jam', 'pillow', 'wall', 'wall_clock', 'newspaper', 'coffe_maker', 'food_donut', 'doorjamb', 'coffee_pot', 'cards', 'door', 'bathroom_cabinet', 'colander', 'scrabble']
Task:Listen to music
response:
{
    "thoughts": I reach out arm. I put hand on radio. I turn on radio. I pick a station.,
    "actions": ['[WALK] <bedroom>', '[WALK] <stereo>', '[TOUCH] <stereo>', '[TURNTO] <stereo>']
}

Input:
Scene_Objects:['dry_pasta', 'sheets', 'toilet', 'chair', 'freezer', 'ground_coffee', 'bathroom', 'cat', 'milk', 'food_egg', 'phone', 'clothes_jacket', 'mat', 'plate', 'tvstand', 'stereo', 'faucet', 'shower', 'couch', 'food_jam', 'pillow', 'cup', 'novel', 'coffe_maker', 'coffee_filter', 'ice', 'curtain', 'kitchen_counter', 'spoon', 'clothes_shirt']
Task:Give milk to cat
response:

Grab milk and pour it into the plate so that the cat can drink

[WALK] <home_office>
[WALK] <cat>
[FIND] <cat>
[TURNTO] <cat>
[POINTAT] <cat>
[PULL] <cat>
[FIND] <milk>
[GRAB] <milk>
[FIND] <plate>
[POUR] <milk> <plate>
[TOUCH] <cat>
[SCRUB] <cat>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['microwave', 'chair', 'freezer', 'walllamp', 'trashcan', 'drawing', 'cpuscreen', 'bathroom_counter', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'toaster', 'ceilinglamp', 'tvstand', 'faucet', 'mat', 'mousepad', 'closetdrawer', 'wall', 'powersocket', 'toy', 'television', 'curtain', 'doorjamb', 'mouse', 'kitchen_counter', 'cupboard', 'table']
Task:Pay bills
response:
{
    "thoughts": Check my bills, on the computer, open the appropriate sites, pay my due bills,
    "actions": ['[WALK] <home_office>', '[WALK] <desk>', '[FIND] <desk>', '[WALK] <desk>', '[FIND] <chair>', '[SIT] <chair>', '[FIND] <computer>', '[SWITCHON] <computer>', '[TURNTO] <computer>', '[LOOKAT] <computer>', '[FIND] <keyboard>', '[TYPE] <keyboard>', '[SWITCHOFF] <computer>']
}

Input:
Scene_Objects:['mop', 'walllamp', 'drawing', 'orchid', 'knife', 'floor', 'ceiling', 'folder', 'remote_control', 'food_cake', 'button', 'ceilinglamp', 'tvstand', 'mat', 'clothes_socks', 'pillow', 'dining_room', 'wall', 'powersocket', 'bed', 'toilet_paper', 'coffe_maker', 'television', 'doorjamb', 'mouse', 'dishrack', 'clothes_dress', 'door', 'table', 'dishwasher']
Task:Change TV channel
response:

Walk to the living room. Find the television. Switch on the television. Find the remote control. Grab the remote control. Point at television. Find the button. Push button.

[WALK] <home_office>
[WALK] <television>
[FIND] <television>
[SWITCHON] <television>
[FIND] <remote_control>
[GRAB] <remote_control>
[TURNTO] <television>
[POINTAT] <television>
[FIND] <button>
[PUSH] <button>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['glue', 'filing_cabinet', 'blow_dryer', 'walllamp', 'knife', 'orchid', 'cpuscreen', 'floor', 'computer', 'button', 'ceilinglamp', 'oil', 'mousepad', 'cup', 'bed', 'keys', 'novel', 'check', 'coffe_maker', 'toothbrush_holder', 'coffee_filter', 'food_food', 'curtain', 'pencil', 'shoes', 'controller', 'hairdryer', 'bathroom_cabinet', 'table', 'board_game']
Task:Get ready to leave
response:
{
    "thoughts": Get your jacket and shoes on, locate the keys off the side table, walk out the front door and secure building with keys when you leave,
    "actions": ['[WALK] <home_office>', '[WALK] <shoes>', '[FIND] <shoes>', '[GRAB] <shoes>', '[PUTON] <shoes>', '[FIND] <keys>', '[GRAB] <keys>']
}

Input:
Scene_Objects:['pot', 'measuring_cup', 'toilet', 'chair', 'band-aids', 'freezer', 'walllamp', 'food_carrot', 'toothbrush', 'drawing', 'cpuscreen', 'bathroom_counter', 'floor', 'button', 'mat', 'tvstand', 'faucet', 'mousepad', 'food_kiwi', 'wall', 'light_bulb', 'coffe_maker', 'toothbrush_holder', 'rag', 'pencil', 'sink', 'bathroom_cabinet', 'soap', 'tooth_paste', 'teeth']
Task:Brush teeth
response:


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['sheets', 'pot', 'blender', 'chair', 'bathroom', 'hanger', 'floor', 'tea_bag', 'food_cake', 'food_bacon', 'piano_bench', 'mat', 'plate', 'dish_soap', 'mousepad', 'closetdrawer', 'couch', 'clothes_socks', 'wall', 'powersocket', 'coffe_maker', 'curtain', 'console', 'kitchen_counter', 'cupboard', 'door', 'sink', 'napkin', 'dishwasher', 'colander']
Task:Wash dishes with dishwasher
response:
{
    "thoughts": I walk to the kitchen. I search and find dishwasher. I search dishes. I put dishes inside the dishwasher. I put dish soap in dishwasher. I switch on dishwasher and wait for dishes to be washed.,
    "actions": ['[WALK] <dining_room>', '[WALK] <dishwasher>', '[FIND] <dishwasher>', '[FIND] <plate>', '[GRAB] <plate>', '[OPEN] <dishwasher>', '[PUTBACK] <plate> <dishwasher>', '[FIND] <dish_soap>', '[GRAB] <dish_soap>', '[PUTBACK] <dish_soap> <dishwasher>', '[CLOSE] <dishwasher>', '[SWITCHON] <dishwasher>']
}

Input:
Scene_Objects:['spectacles', 'food_bread', 'crayon', 'measuring_cup', 'chair', 'walllamp', 'trashcan', 'bedroom', 'bookshelf', 'purse', 'table_cloth', 'faucet', 'clothes_socks', 'pillow', 'wall', 'oven', 'newspaper', 'photoframe', 'coffe_maker', 'food_food', 'check', 'coffee_filter', 'shaving_cream', 'pencil', 'headset', 'dishrack', 'comb', 'dresser', 'spoon', 'instrument_guitar']
Task:Turn on light
response:

walk to living room, find lamp, switch on.

[WALK] <home_office>
[WALK] <floor_lamp>
[FIND] <floor_lamp>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['chair', 'dough', 'drawing', 'orchid', 'cpuscreen', 'bathroom_counter', 'floor', 'ceiling', 'phone', 'character', 'desk', 'keyboard', 'bookshelf', 'computer', 'tvstand', 'stereo', 'mousepad', 'pillow', 'food_kiwi', 'wall', 'powersocket', 'photoframe', 'television', 'curtain', 'doorjamb', 'mouse', 'door', 'sink', 'bathtub', 'light']
Task:Listen to music
response:
{
    "thoughts": I go to the bedroom and sit at my desk. I turn my radio on and listen to music.,
    "actions": ['[WALK] <bedroom>', '[WALK] <light>', '[FIND] <light>', '[SWITCHON] <light>', '[WALK] <desk>', '[FIND] <chair>', '[SIT] <chair>', '[FIND] <stereo>', '[SWITCHON] <stereo>']
}

Input:
Scene_Objects:['filing_cabinet', 'food_salt', 'freezer', 'walllamp', 'drawing', 'orchid', 'floor', 'ceiling', 'bedroom', 'remote_control', 'ceilinglamp', 'tvstand', 'mat', 'homework', 'window', 'wall', 'powersocket', 'oven', 'toy', 'bed', 'toilet_paper', 'television', 'toothbrush_holder', 'food_donut', 'tray', 'doorjamb', 'door', 'sink', 'spoon', 'table']
Task:Change TV channel
response:

[WALK] <home_office>
[WALK] <television>
[FIND] <television>
[SWITCHON] <television>
[FIND] <remote_control>
[GRAB] <remote_control>
[TURNTO] <television>
[WATCH] <television>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['food_salt', 'beer', 'microwave', 'chair', 'drawing', 'knifeblock', 'bathroom_counter', 'floor', 'ceiling', 'mop_bucket', 'toaster', 'brush', 'plate', 'faucet', 'stereo', 'ceilinglamp', 'tvstand', 'dish_soap', 'wall', 'food_food', 'video_game_controller', 'toothbrush_holder', 'doorjamb', 'mouse', 'kitchen_counter', 'headset', 'cupboard', 'sink', 'light', 'table']
Task:Wash dishes by hand
response:
{
    "thoughts": i go to the kitchen, i find the faucet. I turn the faucet on, i grab the plate to wash , i then get the soap. I wash the dishes by hand,
    "actions": ['[WALK] <dining_room>', '[WALK] <faucet>', '[FIND] <faucet>', '[SWITCHON] <faucet>', '[FIND] <dish_soap>', '[GRAB] <dish_soap>', '[FIND] <plate>', '[GRAB] <plate>', '[WASH] <plate>']
}

Input:
Scene_Objects:['microwave', 'freezer', 'walllamp', 'nail_polish', 'food_carrot', 'knifeblock', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'food_bacon', 'toaster', 'ceilinglamp', 'plate', 'mousepad', 'wall', 'powersocket', 'oven', 'food_food', 'coffe_maker', 'doorjamb', 'mouse', 'kitchen_counter', 'cupboard', 'door', 'napkin', 'light', 'dishwasher']
Task:Cook some food
response:

Walk Into Kitchen. Open Refrigerator. Grab Food. Walk to Microwave. Insert food into microwave. Cook until warm.

[WALK] <dining_room>
[WALK] <freezer>
[OPEN] <freezer>
[FIND] <food_food>
[CLOSE] <freezer>
[WALK] <microwave>
[SWITCHON] <microwave>
[SWITCHOFF] <microwave>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['filing_cabinet', 'walllamp', 'cat', 'drawing', 'orchid', 'wallshelf', 'hanger', 'floor', 'ceiling', 'bookshelf', 'keyboard', 'toaster', 'mat', 'tvstand', 'ceilinglamp', 'faucet', 'window', 'plate', 'couch', 'pillow', 'wall', 'newspaper', 'coffe_maker', 'television', 'curtain', 'doorjamb', 'kitchen_counter', 'bathtub', 'light', 'table']
Task:Pet cat
response:
{
    "thoughts": My cat looks like it wants attention, so I will go pet it on the couch.,
    "actions": ['[WALK] <home_office>', '[WALK] <light>', '[FIND] <light>', '[SWITCHON] <light>', '[FIND] <cat>', '[WALK] <couch>', '[SIT] <couch>', '[TURNTO] <cat>', '[TOUCH] <cat>']
}

Input:
Scene_Objects:['filing_cabinet', 'chair', 'walllamp', 'knifeblock', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'dvd_player', 'desk', 'keyboard', 'computer', 'bookmark', 'stovefan', 'ceilinglamp', 'mat', 'mousepad', 'oil', 'food_peanut_butter', 'broom', 'wall', 'novel', 'diary', 'mouse', 'cupboard', 'clothes_dress', 'door', 'table', 'light', 'dirt']
Task:Browse internet
response:

Go to office. Turn on computer. Pull out chair. Sit in chair. Use keyboard and mouse.

[WALK] <home_office>
[WALK] <computer>
[FIND] <computer>
[SWITCHON] <computer>
[FIND] <chair>
[PULL] <chair>
[SIT] <chair>
[TURNTO] <computer>
[LOOKAT] <computer>
[FIND] <keyboard>
[TYPE] <keyboard>
[FIND] <mouse>
[GRAB] <mouse>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['sponge', 'juice', 'toilet', 'walllamp', 'toothbrush', 'drawing', 'cpuscreen', 'clothes_underwear', 'bathroom_counter', 'floor', 'ceiling', 'desk', 'stamp', 'faucet', 'balanceball', 'clothes_pants', 'wall', 'powersocket', 'photoframe', 'novel', 'toothbrush_holder', 'television', 'food_donut', 'tray', 'towel_rack', 'cupboard', 'controller', 'sink', 'bathroom_cabinet', 'tooth_paste']
Task:Wash teeth
response:
{
    "thoughts": I go into the bathroom, go to the sink, get toothbrush and toothpaste. Put toothpaste on the toothbrush, brush teeth, turn on faucet, rinse brush, and return toothbrush.,
    "actions": ['[WALK] <bathroom>', '[WALK] <sink>', '[FIND] <toothbrush_holder>', '[TURNTO] <toothbrush_holder>', '[LOOKAT] <toothbrush_holder>', '[FIND] <toothbrush>', '[GRAB] <toothbrush>', '[FIND] <tooth_paste>', '[GRAB] <tooth_paste>', '[PUTBACK] <tooth_paste> <toothbrush_holder>', '[FIND] <faucet>', '[SWITCHON] <faucet>', '[RINSE] <toothbrush>', '[PUTBACK] <toothbrush> <toothbrush_holder>']
}

Input:
Scene_Objects:['tea', 'cat', 'drawing', 'bills', 'bathroom_counter', 'floor', 'ceiling', 'character', 'bedroom', 'mail', 'alcohol', 'mat', 'faucet', 'clothes_pants', 'pillow', 'wall', 'wall_clock', 'oven', 'pasta', 'bench', 'coffee_filter', 'ice', 'paper_towel', 'conditioner', 'sink', 'bathroom_cabinet', 'clothes_skirt', 'soap', 'hands_both', 'shoe_rack']
Task:Wash hands
response:

I walk to the bathroom and find the sink. I grab the soap and rub some on my hands. I turn the faucet on and put my hands in the water. I rinse my hands and then turn off the faucet. Then I dry my hands on a paper towel.

[WALK] <bathroom>
[WALK] <sink>
[FIND] <sink>
[FIND] <soap>
[GRAB] <soap>
[FIND] <hands_both>
[SCRUB] <hands_both>
[FIND] <faucet>
[SWITCHON] <faucet>
[RINSE] <hands_both>
[FIND] <paper_towel>
[GRAB] <paper_towel>
[WIPE] <hands_both>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['filing_cabinet', 'tablelamp', 'microwave', 'freezer', 'orchid', 'floor', 'desk', 'computer', 'stovefan', 'ceilinglamp', 'tvstand', 'window', 'mousepad', 'pillow', 'nightstand', 'wall_clock', 'oven', 'wall', 'coffe_maker', 'mouthwash', 'television', 'tray', 'towel_rack', 'pencil', 'kitchen_counter', 'dresser', 'cupboard', 'sink', 'bathroom_cabinet', 'light']
Task:Pick up phone
response:
{
    "thoughts": walk to phone, grab phone, pick up phone, put to ear,
    "actions": ['[WALK] <home_office>', '[WALK] <phone>', '[FIND] <phone>', '[GRAB] <phone>']
}

Input:
Scene_Objects:['juice', 'food_salt', 'cd_player', 'toilet', 'freezer', 'walllamp', 'nail_polish', 'drawing', 'orchid', 'knifeblock', 'floor', 'phone', 'keyboard', 'computer', 'button', 'toaster', 'ceilinglamp', 'window', 'couch', 'pillow', 'bowl', 'wall', 'oven', 'photoframe', 'check', 'curtain', 'kettle', 'pajamas', 'table', 'light']
Task:Listen to music
response:

Walk to living room, walk to cd player, turn on cd player, press play button, walk to sofa, sit in sofa and listen to music

[WALK] <home_office>
[WALK] <cd_player>
[SWITCHON] <cd_player>
[FIND] <button>
[PUSH] <button>
[WALK] <couch>
[SIT] <couch>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['tablelamp', 'chair', 'walllamp', 'drawing', 'orchid', 'cpuscreen', 'wallshelf', 'hanger', 'bathroom_counter', 'floor', 'ceiling', 'phone', 'desk', 'keyboard', 'computer', 'mat', 'ceilinglamp', 'tvstand', 'mousepad', 'couch', 'pillow', 'wall', 'nightstand', 'oven', 'television', 'wooden_spoon', 'doorjamb', 'mouse', 'dresser', 'door']
Task:Browse internet
response:
{
    "thoughts": I go to my home office. I sit on the chair right in front of my computer. I turn on the computer. Use the mouse to open the web browser. Use the keyboard to type the URL that I want to visit.,
    "actions": ['[WALK] <home_office>', '[WALK] <chair>', '[FIND] <chair>', '[SIT] <chair>', '[FIND] <computer>', '[SWITCHON] <computer>', '[TURNTO] <computer>', '[LOOKAT] <computer>', '[FIND] <mouse>', '[TOUCH] <mouse>', '[FIND] <keyboard>', '[TYPE] <keyboard>', '[TURNTO] <computer>', '[LOOKAT] <computer>']
}

Input:
Scene_Objects:['toilet', 'bathroom', 'trashcan', 'cpuscreen', 'bathroom_counter', 'floor', 'ceiling', 'phone', 'desk', 'bookshelf', 'alcohol', 'mat', 'electric_shaver', 'oil', 'wall', 'powersocket', 'box', 'food_cheese', 'photoframe', 'bed', 'food_food', 'coffe_maker', 'doorjamb', 'lighter', 'dishrack', 'door', 'bathroom_cabinet', 'light', 'dishwasher', 'coffee']
Task:Turn on light
response:

push any ligth button to turn it on, for example in the living room

[WALK] <home_office>
[WALK] <light>
[FIND] <light>
[SWITCHON] <light>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['microwave', 'toilet', 'freezer', 'walllamp', 'food_carrot', 'orchid', 'drawing', 'wallshelf', 'bathroom_counter', 'floor', 'character', 'shoe-shine_kit', 'faucet', 'couch', 'form', 'wall', 'bench', 'toy', 'cup', 'coffe_maker', 'television', 'doorjamb', 'towel_rack', 'mouse', 'cupboard', 'door', 'sink', 'bathroom_cabinet', 'home_office', 'soap']
Task:Wash hands
response:
{
    "thoughts": walk to bathroom, find sink, turn on faucet, put soap in hands, wash and rinse hands,,
    "actions": ['[WALK] <bathroom>', '[WALK] <sink>', '[FIND] <sink>', '[FIND] <soap>', '[WASH] <soap>', '[RINSE] <soap>']
}

Input:
Scene_Objects:['juice', 'microwave', 'toilet', 'freezer', 'bathroom', 'orchid', 'knifeblock', 'phone', 'character', 'stovefan', 'mat', 'shower', 'dustpan', 'food_orange', 'pillow', 'broom', 'box', 'newspaper', 'check', 'television', 'coffee_pot', 'controller', 'door', 'home_office', 'table', 'bathroom_cabinet', 'dishwasher', 'colander', 'teeth', 'shoe_rack']
Task:Pick up phone
response:

Enter the Home office, then walk to the phone, pickup the phone.

[WALK] <home_office>
[WALK] <phone>
[GRAB] <phone>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['tablelamp', 'nail_polish', 'bathroom', 'cat', 'orchid', 'cpuscreen', 'longboard', 'bedroom', 'keyboard', 'clothes_jacket', 'bookmark', 'toaster', 'balanceball', 'stereo', 'mousepad', 'clothes_pants', 'pillow', 'nightstand', 'wall', 'photoframe', 'food_food', 'mouthwash', 'tray', 'diary', 'comb', 'pajamas', 'maindoor', 'bag', 'spoon', 'light']
Task:Pet cat
response:
{
    "thoughts": Go to the living room where the cat sleeps. Find cat. Proceed to petting cat.,
    "actions": ['[WALK] <home_office>', '[WALK] <cat>', '[FIND] <cat>', '[TOUCH] <cat>']
}

Input:
Scene_Objects:['freezer', 'band-aids', 'dough', 'cpuscreen', 'food_egg', 'floor', 'ceiling', 'dvd_player', 'desk', 'bedroom', 'keyboard', 'computer', 'clothes_jacket', 'ceilinglamp', 'mat', 'mousepad', 'wall', 'powersocket', 'cup', 'bed', 'photoframe', 'newspaper', 'water', 'food_donut', 'doorjamb', 'mouse', 'door', 'light', 'table', 'shoe_rack']
Task:Drink
response:

Feeling tired after hard work I opened the fridge and grabbed cool water and drank from the glass.

[WALK] <dining_room>
[WALK] <freezer>
[FIND] <freezer>
[OPEN] <freezer>
[FIND] <cup>
[GRAB] <cup>
[CLOSE] <freezer>
[FIND] <water>
[GRAB] <water>
[FIND] <cup>
[POUR] <water> <cup>
[FIND] <cup>
[DRINK] <cup>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['toilet', 'freezer', 'walllamp', 'cat', 'ceilingfan', 'drawing', 'cpuscreen', 'clothes_underwear', 'longboard', 'floor', 'ceiling', 'keyboard', 'ceilinglamp', 'tvstand', 'balanceball', 'window', 'oil', 'couch', 'pillow', 'wall', 'photoframe', 'food_food', 'television', 'ice', 'curtain', 'after_shave', 'door', 'table', 'dishwasher', 'vase']
Task:Watch TV
response:
{
    "thoughts": Sit on couch and watch the tv,
    "actions": ['[WALK] <home_office>', '[WALK] <television>', '[FIND] <television>', '[SWITCHON] <television>', '[FIND] <couch>', '[SIT] <couch>', '[TURNTO] <television>', '[WATCH] <television>']
}

Input:
Scene_Objects:['tablelamp', 'blender', 'mop', 'bathroom', 'cat', 'trashcan', 'knifeblock', 'stamp', 'button', 'piano_bench', 'faucet', 'mousepad', 'bowl', 'nightstand', 'wall_clock', 'oven', 'wall', 'bench', 'photoframe', 'novel', 'food_food', 'coffe_maker', 'curtain', 'pencil', 'shoes', 'hairbrush', 'hair', 'instrument_guitar', 'dishwasher', 'tooth_paste']
Task:Read book
response:

pick up  the book open the book and read

[WALK] <bedroom>
[WALK] <novel>
[GRAB] <novel>
[READ] <novel>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['chair', 'band-aids', 'walllamp', 'detergent', 'drawing', 'wallshelf', 'hanger', 'floor', 'ceiling', 'character', 'desk', 'computer', 'mat', 'tvstand', 'ceilinglamp', 'picture', 'homework', 'faucet', 'closetdrawer', 'couch', 'pillow', 'wall', 'photoframe', 'keys', 'television', 'doorjamb', 'kitchen_counter', 'dresser', 'light', 'soap']
Task:Change TV channels
response:
{
    "thoughts": Take remote. Change to desired channel by you.,
    "actions": ['[WALK] <home_office>', '[WALK] <remote_control>', '[FIND] <remote_control>', '[GRAB] <remote_control>', '[WALK] <couch>', '[SIT] <couch>', '[TOUCH] <remote_control>', '[TOUCH] <remote_control>', '[TOUCH] <remote_control>', '[FIND] <television>', '[TURNTO] <television>', '[LOOKAT] <television>', '[WATCH] <television>', '[WATCH] <television>', '[WATCH] <television>']
}

Input:
Scene_Objects:['fork', 'tablelamp', 'chair', 'freezer', 'drawing', 'knifeblock', 'cpuscreen', 'needle', 'floor', 'ceiling', 'desk', 'stamp', 'keyboard', 'computer', 'brush', 'mousepad', 'wall', 'nightstand', 'bed', 'photoframe', 'check', 'food_food', 'doorjamb', 'mouse', 'kitchen_counter', 'headset', 'door', 'table', 'light', 'shoe_rack']
Task:Listen to music
response:

I'll walk to my bedroom, where I have my computer. I'll walk to my computer and sit down in front of it. I'll put on my headphones and unlock my computer. I'll then navigate to music stored locally or streamed through the web.

[WALK] <bedroom>
[WALK] <computer>
[FIND] <computer>
[TURNTO] <computer>
[LOOKAT] <computer>
[WALK] <computer>
[FIND] <chair>
[PULL] <chair>
[SIT] <chair>
[FIND] <headset>
[GRAB] <headset>
[PUTON] <headset>
[SWITCHON] <computer>
[FIND] <keyboard>
[TYPE] <keyboard>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['dry_pasta', 'filing_cabinet', 'jelly', 'drawing', 'orchid', 'knifeblock', 'cpuscreen', 'bathroom_counter', 'floor', 'ceiling', 'character', 'computer', 'bookmark', 'faucet', 'clothes_socks', 'couch', 'pillow', 'broom', 'wall', 'wall_clock', 'tape', 'photoframe', 'novel', 'check', 'food_onion', 'doorjamb', 'door', 'bathtub', 'table', 'light']
Task:Relax on sofa
response:
{
    "thoughts": Go to the living room and relax on the sofa with a book,
    "actions": ['[RUN] <home_office>', '[WALK] <novel>', '[FIND] <novel>', '[GRAB] <novel>', '[WALK] <couch>', '[SIT] <couch>', '[TURNTO] <novel>', '[LOOKAT] <novel>', '[FIND] <bookmark>', '[GRAB] <bookmark>', '[DROP] <bookmark>', '[TURNTO] <novel>', '[LOOKAT] <novel>', '[READ] <novel>', '[READ] <novel>', '[READ] <novel>']
}

Input:
Scene_Objects:['cd_player', 'walllamp', 'drawing', 'knife', 'knifeblock', 'ceiling', 'character', 'keyboard', 'ceilinglamp', 'tvstand', 'stereo', 'shower', 'faucet', 'window', 'food_noodles', 'mousepad', 'couch', 'dustpan', 'dining_room', 'food_kiwi', 'wall_clock', 'bench', 'powersocket', 'oven', 'toy', 'photoframe', 'ice', 'dishrack', 'clothes_skirt', 'coffee']
Task:Listen to music
response:

I walk in the living room, then I go the the stereo and the cd player and turn them on.

[WALK] <home_office>
[WALK] <stereo>
[FIND] <stereo>
[SWITCHON] <stereo>
[FIND] <cd_player>
[SWITCHON] <cd_player>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['glue', 'crayon', 'chair', 'cat', 'dough', 'milk', 'hanger', 'floor', 'keyboard', 'mail', 'table_cloth', 'stovefan', 'plate', 'faucet', 'tvstand', 'window', 'couch', 'form', 'dining_room', 'cutting_board', 'photoframe', 'check', 'wine', 'dresser', 'hairbrush', 'pajamas', 'conditioner', 'home_office', 'bathroom_cabinet', 'table']
Task:Give milk to cat
response:
{
    "thoughts": Grab milk and pour it into the plate so that the cat can drink,
    "actions": ['[WALK] <home_office>', '[WALK] <cat>', '[FIND] <cat>', '[TURNTO] <cat>', '[POINTAT] <cat>', '[PULL] <cat>', '[FIND] <milk>', '[GRAB] <milk>', '[FIND] <plate>', '[POUR] <milk> <plate>', '[TOUCH] <cat>', '[SCRUB] <cat>']
}

Input:
Scene_Objects:['filing_cabinet', 'freezer', 'band-aids', 'trashcan', 'dough', 'food_egg', 'cpuscreen', 'floor', 'ceiling', 'folder', 'desk', 'keyboard', 'computer', 'ceilinglamp', 'mousepad', 'pillow', 'wall', 'powersocket', 'newspaper', 'food_food', 'check', 'oven_mitts', 'food_donut', 'food_onion', 'doorjamb', 'kettle', 'mouse', 'pajamas', 'door', 'light']
Task:Put groceries in Fridge
response:

go to the kitchen and put the groceries in the fridge

[WALK] <dining_room>
[WALK] <freezer>
[FIND] <freezer>
[OPEN] <freezer>
[FIND] <food_food>
[GRAB] <food_food>
[PUTIN] <food_food> <freezer>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['dry_pasta', 'pot', 'microwave', 'walllamp', 'toothbrush', 'drawing', 'knifeblock', 'wallshelf', 'keyboard', 'food_cake', 'ceilinglamp', 'tvstand', 'shower', 'stereo', 'oil', 'tooth_paste', 'couch', 'closetdrawer', 'dining_room', 'toy', 'basket_for_clothes', 'light_bulb', 'check', 'centerpiece', 'kettle', 'mouse', 'kitchen_counter', 'shoes', 'light', 'board_game']
Task:Brush teeth
response:
{
    "thoughts": EARLY MORNING AND BEFORE GOING TO BED,
    "actions": ['[WALK] <bathroom>', '[WALK] <tooth_paste>', '[FIND] <tooth_paste>', '[GRAB] <tooth_paste>', '[FIND] <toothbrush>', '[GRAB] <toothbrush>']
}

Input:
Scene_Objects:['pot', 'filing_cabinet', 'scissors', 'mop', 'microwave', 'toilet', 'walllamp', 'drawing', 'orchid', 'cpuscreen', 'floor', 'desk', 'bookshelf', 'tvstand', 'shower', 'stereo', 'mousepad', 'wall', 'powersocket', 'photoframe', 'bed', 'food_food', 'television', 'curtain', 'doorjamb', 'coffee_pot', 'chessboard', 'laundry_detergent', 'door', 'board_game']
Task:Go to toilet
response:


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['pot', 'food_ice_cream', 'microwave', 'freezer', 'walllamp', 'blow_dryer', 'detergent', 'knifeblock', 'bathroom_counter', 'floor', 'ceiling', 'table_cloth', 'stovefan', 'toaster', 'faucet', 'mousepad', 'wall', 'wall_clock', 'oven', 'cup', 'coffe_maker', 'food_food', 'water', 'tray', 'cards', 'kitchen_counter', 'cupboard', 'sink', 'light', 'dishwasher']
Task:Drink
response:
{
    "thoughts": Walk to kitchen, grab a cup, fill with water and then drink it.,
    "actions": ['[WALK] <dining_room>', '[WALK] <cupboard>', '[FIND] <cupboard>', '[OPEN] <cupboard>', '[FIND] <cup>', '[GRAB] <cup>', '[FIND] <faucet>', '[SWITCHON] <faucet>', '[FIND] <water>', '[FIND] <sink>', '[PUTBACK] <cup> <sink>', '[GRAB] <cup>', '[DRINK] <cup>']
}

Input:
Scene_Objects:['filing_cabinet', 'beer', 'freezer', 'walllamp', 'drawing', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'shampoo', 'bookshelf', 'remote_control', 'button', 'ceilinglamp', 'tvstand', 'mat', 'faucet', 'foundation', 'window', 'wall', 'powersocket', 'cup', 'photoframe', 'television', 'wooden_spoon', 'curtain', 'doorjamb', 'door', 'table', 'light']
Task:Change TV channel
response:

Walk into the Living room.  Find the television remote.  Use it to turn on the television.  Point the remote at the television. Press the channel button on the remote.

[WALK] <home_office>
[WALK] <remote_control>
[FIND] <remote_control>
[FIND] <television>
[TURNTO] <television>
[POINTAT] <television>
[SWITCHON] <television>
[FIND] <button>
[PUSH] <button>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['blender', 'microwave', 'chair', 'freezer', 'bathroom', 'drawing', 'orchid', 'floor', 'ceiling', 'desk', 'ceilinglamp', 'tvstand', 'stereo', 'picture', 'mat', 'closetdrawer', 'couch', 'dining_room', 'wall_clock', 'bench', 'food_food', 'coffe_maker', 'tray', 'doorjamb', 'towel_rack', 'mouse', 'dresser', 'cupboard', 'home_office', 'instrument_guitar']
Task:Turn on light
response:
{
    "thoughts": I walk into the living room and then I walk to the light switch in there and turn the lights on,
    "actions": ['[WALK] <home_office>', '[WALK] <floor_lamp>', '[SWITCHON] <floor_lamp>']
}

Input:
Scene_Objects:['sheets', 'pot', 'chair', 'walllamp', 'food_butter', 'orchid', 'drawing', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'bookshelf', 'computer', 'mat', 'shower', 'picture', 'mousepad', 'pillow', 'wall', 'oven', 'powersocket', 'bed', 'photoframe', 'food_donut', 'tray', 'mouse', 'pencil', 'bag', 'soap']
Task:Read book
response:

go to living room,find the text book on the self ,sat on the chair ,open and read the book

[WALK] <home_office>
[WALK] <novel>
[FIND] <novel>
[GRAB] <novel>
[WALK] <home_office>
[WALK] <chair>
[FIND] <chair>
[SIT] <chair>
[READ] <novel>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['microwave', 'chair', 'freezer', 'band-aids', 'walllamp', 'cat', 'drawing', 'floor', 'alcohol', 'computer', 'mat', 'tvstand', 'ceilinglamp', 'deck_of_cards', 'window', 'shower', 'couch', 'pillow', 'wall', 'wall_clock', 'oven', 'photoframe', 'keys', 'television', 'curtain', 'doorjamb', 'mouse', 'home_office', 'table', 'bathroom_cabinet']
Task:Pet cat
response:
{
    "thoughts": Walk into bedrrom and to the sofa. Sit on the sofa and touch cat.,
    "actions": ['[WALK] <home_office>', '[WALK] <couch>', '[SIT] <couch>', '[FIND] <cat>', '[TOUCH] <cat>']
}

Input:
Scene_Objects:['tablelamp', 'blender', 'trashcan', 'drawing', 'floor', 'phone', 'ceiling', 'desk', 'purse', 'mat', 'tvstand', 'ceilinglamp', 'window', 'food_peanut_butter', 'food_jam', 'pillow', 'wall', 'bench', 'check', 'toothbrush_holder', 'colander', 'tray', 'rag', 'lighter', 'kitchen_counter', 'comb', 'door', 'table', 'dishwasher', 'soap']
Task:Pick up phone
response:

[WALK] <table>
[FIND] <phone>
[TURNTO] <phone>
[LOOKAT] <phone>
[GRAB] <phone>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['beer', 'crayon', 'ceilingfan', 'drawing', 'needle', 'floor', 'ceiling', 'shampoo', 'keyboard', 'remote_control', 'thread', 'food_bacon', 'button', 'stovefan', 'ceilinglamp', 'tvstand', 'balanceball', 'shower', 'window', 'couch', 'wall', 'photoframe', 'bed', 'television', 'coffee_filter', 'curtain', 'mouse', 'table', 'light', 'laser_pointer']
Task:Watch TV
response:
{
    "thoughts": I go into the living room. I find the remote. I turn on the tv. I sit on the couch and watch tv.,
    "actions": ['[WALK] <home_office>', '[WALK] <remote_control>', '[FIND] <remote_control>', '[FIND] <television>', '[TURNTO] <television>', '[POINTAT] <television>', '[SWITCHON] <television>', '[FIND] <couch>', '[SIT] <couch>', '[TURNTO] <television>', '[WATCH] <television>']
}

Input:
Scene_Objects:['sheets', 'tablelamp', 'freezer', 'knifeblock', 'knife', 'bathroom_counter', 'shampoo', 'ceiling', 'keyboard', 'stovefan', 'mat', 'stereo', 'clothes_socks', 'oil', 'nightstand', 'powersocket', 'toy', 'novel', 'food_food', 'coffe_maker', 'rag', 'kettle', 'shoes', 'cupboard', 'hair', 'controller', 'door', 'instrument_guitar', 'table', 'light']
Task:Listen to music
response:

walk into living room, walk to stereo, turn on stereo, listen to music

[WALK] <home_office>
[WALK] <stereo>
[FIND] <stereo>
[SWITCHON] <stereo>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['walllamp', 'drawing', 'orchid', 'hanger', 'floor', 'ceiling', 'desk', 'remote_control', 'ceilinglamp', 'tvstand', 'mat', 'window', 'couch', 'clothes_pants', 'form', 'pillow', 'towel', 'wall', 'powersocket', 'bench', 'newspaper', 'television', 'curtain', 'doorjamb', 'mouse', 'hair', 'door', 'bathroom_cabinet', 'table', 'dishwasher']
Task:Watch TV
response:
{
    "thoughts": SIT ON THE COUCH, TURN TV ON WITH REMOTE, FIND A SHOW,
    "actions": ['[WALK] <home_office>', '[WALK] <couch>', '[FIND] <couch>', '[SIT] <couch>', '[FIND] <remote_control>', '[GRAB] <remote_control>', '[FIND] <television>', '[SWITCHON] <television>', '[PUTOBJBACK] <remote_control>', '[TURNTO] <television>', '[WATCH] <television>']
}

Input:
Scene_Objects:['spectacles', 'pot', 'filing_cabinet', 'food_pizza', 'walllamp', 'cat', 'toothbrush', 'orchid', 'hanger', 'bathroom_counter', 'ceiling', 'bedroom', 'food_bacon', 'table_cloth', 'plate', 'food_jam', 'bench', 'oven', 'tape', 'photoframe', 'toothbrush_holder', 'oven_mitts', 'wooden_spoon', 'diary', 'mouse', 'sink', 'home_office', 'light', 'tooth_paste', 'clothes_shirt']
Task:Brush teeth
response:

today morning i went to bathroom and took my toothbrush and paste from tooth brush holder and brushed and cleaned my teeth well


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['pot', 'tablelamp', 'chair', 'walllamp', 'drawing', 'orchid', 'cpuscreen', 'wallshelf', 'hanger', 'floor', 'phone', 'ceiling', 'desk', 'keyboard', 'computer', 'mat', 'ceilinglamp', 'tvstand', 'mousepad', 'couch', 'pillow', 'wall', 'nightstand', 'oven', 'powersocket', 'television', 'tray', 'doorjamb', 'towel_rack', 'mouse', 'pencil', 'dresser', 'door', 'light']
Task:Work
response:
{
    "thoughts": Walk to over to desk, sit down on chair and face the computer, turn the computer on, use arms to place hands on the keyboard, type work into the computer and use eyes to review.,
    "actions": ['[WALK] <home_office>', '[WALK] <desk>', '[FIND] <chair>', '[SIT] <chair>', '[FIND] <computer>', '[TURNTO] <computer>', '[LOOKAT] <computer>', '[SWITCHON] <computer>', '[FIND] <keyboard>', '[TYPE] <keyboard>']
}

Input:
Scene_Objects:['fork', 'pot', 'tablelamp', 'freezer', 'bathroom', 'trashcan', 'cpuscreen', 'floor', 'ceiling', 'desk', 'keyboard', 'computer', 'food_bacon', 'toaster', 'ceilinglamp', 'mousepad', 'food_jam', 'pillow', 'wall', 'powersocket', 'light_bulb', 'drinking_glass', 'food_onion', 'doorjamb', 'mouse', 'cd', 'door', 'light', 'clothes_skirt', 'coffee']
Task:Drink
response:

[WALK] <dining_room>
[WALK] <freezer>
[FIND] <freezer>
[OPEN] <freezer>
[FIND] <drinking_glass>
[GRAB] <drinking_glass>
[DRINK] <drinking_glass>
[PUTOBJBACK] <drinking_glass>
[CLOSE] <freezer>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['pot', 'chair', 'walllamp', 'drawing', 'orchid', 'wallshelf', 'hanger', 'floor', 'ceiling', 'desk', 'remote_control', 'computer', 'mat', 'tvstand', 'ceilinglamp', 'closetdrawer', 'couch', 'pillow', 'wall', 'photoframe', 'television', 'curtain', 'doorjamb', 'coffee_pot', 'mouse', 'dresser', 'conditioner', 'door', 'table', 'shoe_rack']
Task:Relax on sofa
response:
{
    "thoughts": For relaxing walk to living room. Find the sofa to relax. Arrange the sofa to relax. Sit on the sofa to relaxing.,
    "actions": ['[WALK] <home_office>', '[WALK] <couch>', '[FIND] <couch>', '[FIND] <conditioner>', '[FIND] <remote_control>', '[FIND] <television>', '[SWITCHON] <television>', '[LIE] <couch>']
}

Input:
Scene_Objects:['pot', 'chair', 'band-aids', 'bathroom', 'trashcan', 'phone', 'bedroom', 'bookshelf', 'computer', 'stovefan', 'picture', 'window', 'couch', 'bowl', 'broom', 'wall', 'oven', 'bench', 'cup', 'food_food', 'oven_mitts', 'colander', 'curtain', 'pencil', 'kitchen_counter', 'clothes_dress', 'sink', 'dishwasher', 'soap', 'instrument_violin']
Task:Pet cat
response:

Find Cat in living room.  Walk to cat.  Pet cat.

[WALK] <home_office>
[WALK] <cat>
[FIND] <cat>
[TURNTO] <cat>
[LOOKAT] <cat>
[TOUCH] <cat>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['pot', 'tablelamp', 'microwave', 'walllamp', 'knifeblock', 'kitchen_cabinet', 'floor', 'ceiling', 'folder', 'character', 'desk', 'faucet', 'stereo', 'mousepad', 'food_orange', 'wall', 'oven', 'photoframe', 'oven_mitts', 'water', 'drinking_glass', 'wooden_spoon', 'towel_rack', 'shaving_cream', 'kitchen_counter', 'cupboard', 'food_steak', 'sink', 'spoon', 'board_game']
Task:Drink
response:
{
    "thoughts": Go to kitchen, open cabinet, get glass, close cabinet, put glass under faucet, turn on water, turn off water when glass has 85% water, lift glass to mouth, open mouth and put on glass, tilt glass up and swallow water.,
    "actions": ['[WALK] <dining_room>', '[WALK] <kitchen_cabinet>', '[FIND] <kitchen_cabinet>', '[TURNTO] <kitchen_cabinet>', '[LOOKAT] <kitchen_cabinet>', '[FIND] <drinking_glass>', '[GRAB] <drinking_glass>', '[FIND] <faucet>', '[SWITCHON] <faucet>', '[FIND] <water>', '[FIND] <sink>', '[PUTBACK] <drinking_glass> <sink>', '[GRAB] <drinking_glass>', '[SWITCHOFF] <faucet>', '[DRINK] <drinking_glass>']
}

Input:
Scene_Objects:['glue', 'tea', 'microwave', 'walllamp', 'trashcan', 'cpuscreen', 'floor', 'ceiling', 'phone', 'toaster', 'shower', 'faucet', 'food_noodles', 'mousepad', 'microphone', 'pillow', 'wall', 'bed', 'light_bulb', 'coffe_maker', 'toothbrush_holder', 'coffee_filter', 'oven_mitts', 'razor', 'curtain', 'kitchen_counter', 'cupboard', 'sink', 'dishwasher', 'coffee']
Task:Make coffee
response:

Enter kitchen, find coffee maker, find coffee filter, pick up coffee filter, put it in coffee maker, find coffee, pour coffee into filter, turn on.

[WALK] <dining_room>
[WALK] <coffe_maker>
[FIND] <coffe_maker>
[FIND] <coffee_filter>
[GRAB] <coffee_filter>
[OPEN] <coffe_maker>
[PUTBACK] <coffee_filter> <coffe_maker>
[WALK] <coffee>
[FIND] <coffee>
[GRAB] <coffee>
[POUR] <coffee> <coffe_maker>
[SWITCHON] <coffe_maker>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['microwave', 'toilet', 'chair', 'walllamp', 'bathroom', 'drawing', 'cpuscreen', 'wallshelf', 'floor', 'ceiling', 'desk', 'keyboard', 'bookshelf', 'computer', 'ceilinglamp', 'tvstand', 'window', 'mousepad', 'dustpan', 'pillow', 'wall', 'wall_clock', 'powersocket', 'television', 'tray', 'doorjamb', 'mouse', 'dresser', 'cupboard', 'table']
Task:Browse internet
response:
{
    "thoughts": Browsing the internet for information.,
    "actions": ['[WALK] <home_office>', '[WALK] <desk>', '[FIND] <computer>', '[SWITCHON] <computer>', '[FIND] <chair>', '[SIT] <chair>', '[FIND] <mouse>', '[TOUCH] <mouse>', '[TURNTO] <computer>', '[LOOKAT] <computer>']
}

Input:
Scene_Objects:['tablelamp', 'cd_player', 'walllamp', 'trashcan', 'food_carrot', 'drawing', 'needle', 'bathroom_counter', 'dvd_player', 'bedroom', 'bookshelf', 'alcohol', 'piano_bench', 'bookmark', 'laptop', 'stereo', 'couch', 'pillow', 'broom', 'bench', 'basket_for_clothes', 'mouse', 'shoes', 'headset', 'food_steak', 'sink', 'hairdryer', 'instrument_guitar', 'door', 'bag']
Task:Listen to music
response:

Find the playback device you want to listen to. turn on. press play. enjoyu music.

[WALK] <bedroom>
[WALK] <cd_player>
[FIND] <cd_player>
[SWITCHON] <cd_player>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['dry_pasta', 'tablelamp', 'food_salt', 'chair', 'walllamp', 'detergent', 'drawing', 'clothes_underwear', 'floor', 'bedroom', 'toaster', 'ceilinglamp', 'tvstand', 'shower', 'food_noodles', 'garbage_can', 'mousepad', 'microphone', 'wall', 'nightstand', 'food_vegetable', 'bed', 'food_food', 'coffee_filter', 'mouse', 'sink', 'home_office', 'table', 'dishwasher', 'pantry']
Task:Organize pantry
response:
{
    "thoughts": Remove all perishable foods from the pantry, check dates and throw away any old food. Decide on an efficient ad neat arrangement for the food and replace it in the pantry accordingly.,
    "actions": ['[WALK] <dining_room>', '[WALK] <pantry>', '[FIND] <food_food>', '[GRAB] <food_food>', '[TURNTO] <food_food>', '[LOOKAT] <food_food>', '[FIND] <garbage_can>', '[PUTBACK] <food_food> <garbage_can>', '[FIND] <food_vegetable>', '[GRAB] <food_vegetable>', '[TURNTO] <food_vegetable>', '[LOOKAT] <food_vegetable>', '[PUTBACK] <food_vegetable> <garbage_can>', '[FIND] <dry_pasta>', '[GRAB] <dry_pasta>', '[TURNTO] <dry_pasta>', '[LOOKAT] <dry_pasta>', '[PUTOBJBACK] <dry_pasta>', '[FIND] <food_food>', '[TURNTO] <food_food>', '[LOOKAT] <food_food>', '[PUSH] <food_food>', '[FIND] <food_noodles>', '[GRAB] <food_noodles>', '[TURNTO] <food_noodles>', '[LOOKAT] <food_noodles>', '[PUTOBJBACK] <food_noodles>']
}

Input:
Scene_Objects:['tablelamp', 'food_ice_cream', 'walllamp', 'trashcan', 'drawing', 'orchid', 'knifeblock', 'floor', 'ceiling', 'tea_bag', 'bookshelf', 'remote_control', 'button', 'ceilinglamp', 'tvstand', 'mat', 'deck_of_cards', 'homework', 'wall', 'powersocket', 'check', 'television', 'doorjamb', 'mouse', 'cupboard', 'controller', 'door', 'bag', 'table', 'teeth']
Task:Change TV channel
response:

Go to the living room, Switch on the television. Find the remote and press the change channel button, change the channel

[WALK] <home_office>
[WALK] <television>
[FIND] <television>
[SWITCHON] <television>
[FIND] <remote_control>
[GRAB] <remote_control>
[TURNTO] <television>
[POINTAT] <television>
[FIND] <button>
[TOUCH] <button>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['food_pizza', 'food_salt', 'drawing', 'wallshelf', 'hanger', 'floor', 'ceiling', 'character', 'desk', 'bookshelf', 'computer', 'mat', 'faucet', 'closetdrawer', 'pillow', 'dining_room', 'wall', 'nightstand', 'powersocket', 'toy', 'novel', 'toothbrush_holder', 'wine', 'doorjamb', 'shaving_cream', 'kitchen_counter', 'door', 'sink', 'clothes_scarf', 'light']
Task:Turn on light
response:
{
    "thoughts": Walk into living room. Find wall. Find light button. Switch on light button.,
    "actions": ['[WALK] <home_office>', '[WALK] <light>', '[FIND] <light>', '[SWITCHON] <light>']
}

Input:
Scene_Objects:['sheets', 'pot', 'chair', 'walllamp', 'orchid', 'cpuscreen', 'floor', 'ceiling', 'shampoo', 'desk', 'keyboard', 'computer', 'table_cloth', 'stovefan', 'ceilinglamp', 'mat', 'plate', 'stereo', 'mousepad', 'wall', 'bench', 'television', 'wine', 'rag', 'lighter', 'shaving_cream', 'mouse', 'hairbrush', 'door', 'table']
Task:Write an email
response:

walk to living room, look at computer, find chair, sit in chair, grab keyboard, grab mouse, type using keyboard and mouse

[WALK] <home_office>
[WALK] <computer>
[FIND] <computer>
[TURNTO] <computer>
[LOOKAT] <computer>
[WALK] <computer>
[FIND] <chair>
[SIT] <chair>
[FIND] <keyboard>
[GRAB] <keyboard>
[FIND] <mouse>
[GRAB] <mouse>
[TYPE] <keyboard>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['toilet', 'chair', 'jelly', 'walllamp', 'detergent', 'drawing', 'wallshelf', 'bathroom_counter', 'floor', 'phone', 'stovefan', 'mat', 'tvstand', 'ceilinglamp', 'stereo', 'window', 'homework', 'closetdrawer', 'couch', 'pillow', 'wall', 'newspaper', 'coffe_maker', 'television', 'tray', 'curtain', 'towel_rack', 'cupboard', 'home_office', 'table']
Task:Read newspaper
response:
{
    "thoughts": Read the newspaper on the couch,
    "actions": ['[WALK] <home_office>', '[WALK] <newspaper>', '[FIND] <newspaper>', '[GRAB] <newspaper>', '[FIND] <couch>', '[SIT] <couch>', '[READ] <newspaper>']
}

Input:
Scene_Objects:['microwave', 'walllamp', 'orchid', 'drawing', 'floor', 'ceiling', 'phone', 'remote_control', 'mop_bucket', 'stovefan', 'ceilinglamp', 'tvstand', 'mat', 'window', 'couch', 'pillow', 'wall', 'powersocket', 'oven', 'cup', 'newspaper', 'television', 'toothbrush_holder', 'curtain', 'doorjamb', 'shoes', 'dresser', 'door', 'home_office', 'table']
Task:Watch TV
response:

I get home from work and decide to watch tv. I go to the living room and turn on the tv. I sit on the couch and use the remote to switch the channels to find what I want to watch.

[WALK] <home_office>
[WALK] <home_office>
[WALK] <television>
[FIND] <television>
[SWITCHON] <television>
[WALK] <couch>
[SIT] <couch>
[TURNTO] <television>
[LOOKAT] <television>
[FIND] <remote_control>
[GRAB] <remote_control>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['tablelamp', 'microwave', 'walllamp', 'bathroom', 'hanger', 'bathroom_counter', 'man', 'bookshelf', 'keyboard', 'piano_bench', 'toaster', 'ceilinglamp', 'faucet', 'shower', 'window', 'closetdrawer', 'dining_room', 'photoframe', 'tray', 'curtain', 'food_onion', 'mouse', 'dresser', 'cupboard', 'door', 'sink', 'home_office', 'light', 'clothes_skirt', 'bathroom_cabinet']
Task:Greet guests
response:
{
    "thoughts": When someone knocks I n the door walk through the hallway and greet them.,
    "actions": ['[RUN] <home_office>', '[WALK] <man>', '[FIND] <man>', '[GREET] <man>', '[FIND] <man>', '[GREET] <man>']
}

Input:
Scene_Objects:['pot', 'walllamp', 'trashcan', 'milk', 'knifeblock', 'orchid', 'kitchen_cabinet', 'floor', 'ceiling', 'character', 'desk', 'keyboard', 'toaster', 'stovefan', 'faucet', 'mousepad', 'couch', 'wall', 'pasta', 'oven', 'box', 'food_food', 'water', 'tray', 'pencil', 'kitchen_counter', 'sauce_pan', 'cupboard', 'instrument_guitar', 'bathroom_cabinet']
Task:Cook some food
response:

[WALK] <dining_room>
[WALK] <kitchen_cabinet>
[FIND] <kitchen_cabinet>
[OPEN] <kitchen_cabinet>
[FIND] <pasta>
[GRAB] <pasta>
[FIND] <water>
[GRAB] <water>
[FIND] <sauce_pan>
[POUR] <water> <sauce_pan>
[FIND] <oven>
[SWITCHON] <oven>
[PUTBACK] <pasta> <sauce_pan>
[FIND] <sauce_pan>
[GRAB] <sauce_pan>
[PUTBACK] <sauce_pan> <oven>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['filing_cabinet', 'tablelamp', 'tea', 'microwave', 'toilet', 'freezer', 'bathroom', 'trashcan', 'drawing', 'cpuscreen', 'floor', 'ceiling', 'folder', 'bookshelf', 'computer', 'toaster', 'mat', 'shower', 'closetdrawer', 'pillow', 'wall', 'nightstand', 'bench', 'cup', 'food_food', 'doorjamb', 'kitchen_counter', 'cupboard', 'door', 'napkin']
Task:Put groceries in Fridge
response:
{
    "thoughts": Find groceries. Grab groceries. Walk to refrigerator. Open refrigerator door. Place groceries into refrigerator. Close refrigerator door.,
    "actions": ['[WALK] <dining_room>', '[WALK] <food_food>', '[FIND] <food_food>', '[GRAB] <food_food>', '[WALK] <freezer>', '[OPEN] <freezer>', '[PUTIN] <food_food> <freezer>', '[CLOSE] <freezer>']
}

Input:
Scene_Objects:['pot', 'filing_cabinet', 'tea', 'toilet', 'dog', 'trashcan', 'orchid', 'drawing', 'floor', 'ceiling', 'bookshelf', 'keyboard', 'alcohol', 'toaster', 'mat', 'shower', 'picture', 'stereo', 'clothes_socks', 'wall', 'nightstand', 'photoframe', 'check', 'razor', 'curtain', 'doorjamb', 'pencil', 'door', 'napkin', 'laser_pointer']
Task:Go to toilet
response:

[WALK] <bathroom>
[WALK] <toilet>
[FIND] <toilet>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['tablelamp', 'microwave', 'toilet', 'cat', 'drawing', 'floor', 'dvd_player', 'bookshelf', 'food_cake', 'keyboard', 'computer', 'bookmark', 'mat', 'shower', 'faucet', 'window', 'couch', 'pillow', 'wall', 'nightstand', 'powersocket', 'bed', 'television', 'curtain', 'towel_rack', 'mouse', 'door', 'sink', 'bathtub', 'light']
Task:Breakfast
response:
{
    "thoughts": I have breakfast in bed, watching tv.,
    "actions": ['[WALK] <dining_room>', '[WALK] <food_food>', '[GRAB] <food_food>', '[WALK] <bedroom>', '[WALK] <television>', '[SWITCHON] <television>', '[WALK] <bed>', '[LIE] <bed>', '[TURNTO] <television>', '[WATCH] <television>', '[EAT] <food_food>']
}

Input:
Scene_Objects:['water_glass', 'mop', 'freezer', 'bathroom', 'trashcan', 'knifeblock', 'drawing', 'orchid', 'bathroom_counter', 'floor', 'desk', 'keyboard', 'table_cloth', 'stovefan', 'mat', 'mousepad', 'pillow', 'bench', 'oven', 'photoframe', 'bed', 'coffee_filter', 'wine', 'centerpiece', 'dresser', 'sink', 'table', 'tooth_paste', 'laser_pointer', 'teeth']
Task:Drink
response:

walk to kitchen, walk to table, grab water glass and drink water

[WALK] <dining_room>
[WALK] <table>
[FIND] <water_glass>
[GRAB] <water_glass>
[DRINK] <water_glass>
[PUTBACK] <water_glass> <table>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['pot', 'jelly', 'freezer', 'walllamp', 'knifeblock', 'cpuscreen', 'floor', 'ceiling', 'food_chicken', 'desk', 'keyboard', 'computer', 'food_bacon', 'toaster', 'ceilinglamp', 'stovefan', 'faucet', 'mousepad', 'oil', 'wall', 'powersocket', 'oven', 'food_food', 'tray', 'doorjamb', 'coffee_pot', 'mouse', 'kitchen_counter', 'cupboard', 'door', 'sink', 'light']
Task:Cook some food
response:
{
    "thoughts": I walk in the kitchen, I open the fridge and remove the Chicken. I grab frying fan and put it on stove. I put chicken in the frying pan and I cook food.,
    "actions": ['[WALK] <dining_room>', '[WALK] <freezer>', '[FIND] <freezer>', '[OPEN] <freezer>', '[FIND] <food_chicken>', '[GRAB] <food_chicken>', '[FIND] <pot>', '[GRAB] <pot>', '[FIND] <oven>', '[PUTBACK] <pot> <oven>', '[PUTBACK] <food_chicken> <oven>']
}

Input:
Scene_Objects:['pot', 'freezer', 'walllamp', 'food_carrot', 'milk', 'drawing', 'knifeblock', 'cpuscreen', 'kitchen_cabinet', 'floor', 'ceiling', 'food_chicken', 'desk', 'keyboard', 'computer', 'toaster', 'ceilinglamp', 'mat', 'stereo', 'stovefan', 'faucet', 'mousepad', 'oil', 'pillow', 'wall', 'powersocket', 'bench', 'oven', 'food_food', 'tray', 'doorjamb', 'mouse', 'kitchen_counter', 'cupboard', 'door', 'sink', 'napkin', 'light', 'table']
Task:Cook some food
response:

Walk to the kitchen and open the fridge. From the fridge take some chicken and close the fridge. Walk to the table and put the chicken on the table. Plug in oven and put the chicken into the oven.

[WALK] <dining_room>
[WALK] <freezer>
[FIND] <freezer>
[OPEN] <freezer>
[FIND] <food_chicken>
[GRAB] <food_chicken>
[CLOSE] <freezer>
[WALK]

[PUTBACK] <food_chicken>

[FIND] <kitchen_cabinet>
[OPEN] <kitchen_cabinet>
[FIND] <pot>
[GRAB] <pot>
[PUTBACK] <pot>

[FIND] <oven>
[PLUGIN] <oven>
[OPEN] <oven>
[GRAB] <food_chicken>
[PUTIN] <food_chicken> <oven>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['food_pizza', 'food_ice_cream', 'mop', 'chair', 'freezer', 'walllamp', 'cat', 'trashcan', 'toothbrush', 'hanger', 'bathroom_counter', 'floor', 'keyboard', 'dining_room', 'bench', 'powersocket', 'cup', 'photoframe', 'novel', 'toothbrush_holder', 'curtain', 'mouse', 'headset', 'pajamas', 'door', 'dishwasher', 'vase', 'tooth_paste', 'clothes_shirt', 'teeth']
Task:Wash teeth
response:
{
    "thoughts": walk to bathroom, look at the toothbrush holder, grab the toothbrush from the toothbrush holder, find the toothpaste, squeeze the toothpaste into toothbrush, now wash the teeth,
    "actions": ['[WALK] <bathroom>', '[WALK] <toothbrush_holder>', '[FIND] <toothbrush_holder>', '[TURNTO] <toothbrush_holder>', '[LOOKAT] <toothbrush_holder>', '[FIND] <toothbrush>', '[GRAB] <toothbrush>', '[FIND] <tooth_paste>', '[SQUEEZE] <tooth_paste>', '[FIND] <teeth>', '[WASH] <teeth>']
}

Input:
Scene_Objects:['filing_cabinet', 'food_bread', 'microwave', 'toilet', 'drawing', 'orchid', 'floor', 'phone', 'tea_bag', 'bookshelf', 'plate', 'shower', 'faucet', 'oil', 'candle', 'form', 'dining_room', 'wall', 'basket_for_clothes', 'photoframe', 'bed', 'food_food', 'coffee_filter', 'curtain', 'doorjamb', 'mouse', 'kitchen_counter', 'dresser', 'door', 'dishwasher']
Task:Go to toilet
response:

I walk into the bath room and go to the toilet

[WALK] <bathroom>
[WALK] <toilet>
[FIND] <toilet>
[SIT] <toilet>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['tablelamp', 'chair', 'bathroom', 'trashcan', 'orchid', 'drawing', 'cpuscreen', 'knifeblock', 'floor', 'dvd_player', 'computer', 'bookmark', 'brush', 'ceilinglamp', 'faucet', 'electric_shaver', 'floor_lamp', 'mousepad', 'wall', 'powersocket', 'novel', 'food_food', 'check', 'television', 'after_shave', 'cupboard', 'sink', 'home_office', 'table', 'tooth_paste']
Task:Turn on light
response:
{
    "thoughts": Twist the lamp switch until the light goes on.,
    "actions": ['[WALK] <home_office>', '[WALK] <floor_lamp>', '[FIND] <floor_lamp>', '[SWITCHON] <floor_lamp>']
}

Input:
Scene_Objects:['fork', 'pot', 'food_bread', 'microwave', 'walllamp', 'trashcan', 'knife', 'cpuscreen', 'floor', 'phone', 'bookshelf', 'computer', 'toaster', 'ceilinglamp', 'plate', 'shower', 'foundation', 'clothes_pants', 'wall', 'coffe_maker', 'television', 'water', 'kitchen_counter', 'hairbrush', 'cupboard', 'sink', 'spoon', 'bathroom_cabinet', 'light', 'dishwasher']
Task:Wash dishes with dishwasher
response:

first i will take all the dishes to the dish washer and with the help of dishwasher and water i will clean all the dishes

[WALK] <dining_room>
[WALK] <dishwasher>
[FIND] <dishwasher>
[OPEN] <dishwasher>
[FIND] <fork>
[GRAB] <fork>
[PUTBACK] <fork> <dishwasher>
[FIND] <plate>
[GRAB] <plate>
[PUTBACK] <plate> <dishwasher>
[FIND] <spoon>
[GRAB] <spoon>
[PUTBACK] <spoon> <dishwasher>
[FIND] <water>
[TURNTO] <water>
[CLOSE] <dishwasher>
[SWITCHON] <dishwasher>


Instruction:
You serve as an AI task planner.
1. Your task is to create a plan to achieve a goal by converting it into a sequence of actions. Each action should follow the format "[verb] <target1> <target2>", where 'verb' represents the action, and 'target1' and 'target2' are optional arguments.
2. You must describe your plan in natural language at the beginning. After that, you should list all the actions together.
Ensure that you response can be parsed by Python json.loads.

Here is an example plan to achieve a goal for reference:
Scene_Objects:['tablelamp', 'beer', 'toilet', 'dough', 'toothbrush', 'drawing', 'floor', 'ceiling', 'computer', 'ceilinglamp', 'tvstand', 'stereo', 'shower', 'window', 'oil', 'couch', 'bowl', 'wall', 'oven', 'toy', 'cup', 'bed', 'food_food', 'television', 'wooden_spoon', 'towel_rack', 'comb', 'cupboard', 'table', 'dishwasher']
Task:Relax on sofa
response:
{
    "thoughts": Walk to living room. Find couch. Sit on couch,
    "actions": ['[WALK] <home_office>', '[WALK] <couch>', '[FIND] <couch>', '[SIT] <couch>']
}

Input:
Scene_Objects:['spectacles', 'pot', 'filing_cabinet', 'tablelamp', 'mop', 'toilet', 'walllamp', 'cat', 'drawing', 'floor', 'ceiling', 'character', 'bookshelf', 'food_cake', 'piano_bench', 'shower', 'faucet', 'pillow', 'wall', 'photoframe', 'bed', 'curtain', 'doorjamb', 'diary', 'dresser', 'cupboard', 'door', 'bathroom_cabinet', 'soap', 'instrument_violin']
Task:Go to toilet
response:

Walk to the bathroom.  Find the toilet.  Lift the top of the toilet.  Sit on the toilet.

[WALK] <bathroom>
[WALK] <toilet>
[FIND] <toilet>
[OPEN] <toilet>
[SIT] <toilet>