RoboLab Subtask System: Comprehensive Guide
This guide provides a complete reference for defining subtasks in RoboLab, covering all supported formats, logical modes, and use cases.
Table of Contents
- Overview
- Subtask Definitions
- The Subtask Dataclass
- Condition Formats
- Format 1: Single Callable (Atomic Subtask)
- Format 2: List of Callables
- Format 3: List of Tuples (Callable, Score)
- Format 4: Set of Callables
- Format 5: Set of Tuples (Callable, Score)
- Format 6: Dict with Single Callables
- Format 7: Dict with List of Callables
- Format 8: Dict with List of Tuples (Callable, Score)
- Format 9: Dict with Set of Callables
- Logical Modes
- Composite Functions
- Sequential Subtasks
- Scoring System
- Effective Operations & Difficulty Scoring
Overview
RoboLab uses a hierarchical state machine architecture to manage complex manipulation tasks involving multiple objects and sequential execution phases.
Subtask Definitions
Subtasks are defined as a list of subtask groups, where each subtask group can handle parallel subtask checking and composite tasks such as "and"/"any"/"choose" type subtasks. Each subtask group must be complete until the next subtask state machine step.
Key Components
Subtask(conditions, logical, score, K) ← Subtask dataclass
↓
SubtaskStateMachine ← Manages sequential subtasks
↓
ConditionalsStateMachine ← Manages parallel conditions
↓
Parallel execution with regression checking
The Subtask Dataclass
The Subtask dataclass is the core building block for defining task conditions. Each subtask must be completed before moving to the next subtask.
from robolab.core.task.subtask import Subtask
@dataclass
class Subtask:
"""Self-documenting container for a group of parallel conditions."""
conditions: Union[Callable, list, set, dict]
score: float = 1.0
logical: Literal["all", "any", "choose"] = "all"
K: Optional[int] = None # Required when logical="choose"
name: str = "unnamed_subtask"
Condition Formats
The conditions parameter supports 8 different formats for convenience, but will all be unified at loading time:
Format 1: Single Callable (Atomic Subtask)
Use Case: Single condition to check
from functools import partial
from robolab.core.task.subtask import Subtask
from robolab.core.task.conditionals import object_grabbed
Subtask(
conditions=partial(object_grabbed, object='banana'),
name="grab_banana"
)
Internal Structure: {"conditions": [(func, 1.0)]}
Format 2: List of Callables
Use Case: Multiple conditions as separate groups, each with equal score
Subtask(
conditions=[
partial(object_grabbed, object='banana'),
partial(object_grabbed, object='rubiks_cube')
],
logical="any", # Grab ANY one object
name="grab_any_object"
)
Internal Structure: Each callable becomes its own group with equal scores
{
"group1": [(func1, 0.5)],
"group2": [(func2, 0.5)]
}
Format 3: List of Tuples (Callable, Score)
Use Case: Multiple conditions with custom score weighting
Subtask(
conditions=[
(partial(object_grabbed, object='banana'), 0.3),
(partial(object_in_container, object='banana', container='bowl'), 0.7)
],
logical="all",
name="weighted_conditions"
)
Internal Structure: Each tuple becomes its own group
{
"group1": [(func1, 1.0)], # Scores normalized within group
"group2": [(func2, 1.0)]
}
Format 4: Set of Callables
Use Case: Same as list, but order doesn't matter semantically
Subtask(
conditions={
partial(object_grabbed, object='banana'),
partial(object_grabbed, object='rubiks_cube')
},
logical="any",
name="grab_any_set"
)
Note: Converted to list internally (order may vary)
Format 5: Set of Tuples (Callable, Score)
Use Case: Multiple conditions with scores, order-agnostic
Subtask(
conditions={
(partial(object_grabbed, object='banana'), 0.5),
(partial(object_grabbed, object='rubiks_cube'), 0.5)
},
logical="any",
name="weighted_set"
)
Format 6: Dict with Single Callables
Use Case: Explicit group names, single condition per group
Subtask(
conditions={
"banana": partial(object_grabbed, object='banana'),
"cube": partial(object_grabbed, object='rubiks_cube')
},
logical="all", # Both must be grabbed
name="grab_both_explicit"
)
Internal Structure:
{
"banana": [(func1, 1.0)],
"cube": [(func2, 1.0)]
}
Format 7: Dict with List of Callables
Use Case: Multiple sequential conditions per group, equal scores
This is the most common format for complex multi-step tasks.
Subtask(
conditions={
"banana": [
partial(object_grabbed, object='banana'),
partial(object_above_bottom, object='banana', reference_object='bowl'),
partial(object_dropped, object='banana'),
partial(object_in_container, object='banana', container='bowl')
],
"cube": [
partial(object_grabbed, object='rubiks_cube'),
partial(object_above_bottom, object='rubiks_cube', reference_object='bowl'),
partial(object_dropped, object='rubiks_cube'),
partial(object_in_container, object='rubiks_cube', container='bowl')
]
},
logical="all", # Both banana AND cube must complete all steps
name="pick_and_place_both"
)
Internal Structure: Each callable gets equal score within its group
{
"banana": [(func1, 0.25), (func2, 0.25), (func3, 0.25), (func4, 0.25)],
"cube": [(func1, 0.25), (func2, 0.25), (func3, 0.25), (func4, 0.25)]
}
Key Feature: Within each group, conditions are checked sequentially with regression checking.
Format 8: Dict with List of Tuples (Callable, Score)
Use Case: Full control over groups, sequences, and scores
This is the most flexible format.
Subtask(
conditions={
"banana": [
(partial(object_grabbed, object='banana'), 0.1),
(partial(object_above_bottom, object='banana', reference_object='bowl'), 0.2),
(partial(object_dropped, object='banana'), 0.3),
(partial(object_in_container, object='banana', container='bowl'), 0.4)
],
"cube": [
(partial(object_grabbed, object='rubiks_cube'), 0.25),
(partial(object_above_bottom, object='rubiks_cube', reference_object='bowl'), 0.25),
(partial(object_dropped, object='rubiks_cube'), 0.25),
(partial(object_in_container, object='rubiks_cube', container='bowl'), 0.25)
]
},
logical="all",
name="fully_weighted"
)
Note: Scores within each group are normalized to sum to 1.0.
Format 9: Dict with Set of Callables
Use Case: Order-agnostic sequential conditions per group
Subtask(
conditions={
"banana": {
partial(object_grabbed, object='banana'),
partial(object_in_container, object='banana', container='bowl')
},
"cube": {
partial(object_grabbed, object='rubiks_cube'),
partial(object_in_container, object='rubiks_cube', container='bowl')
}
},
logical="any", # Either banana OR cube completes
name="pick_and_place_any"
)
Note: Converted to list internally.
Logical Modes
The logical parameter determines when a subtask group is considered complete.
Mode 1: "all" (Default)
Semantics: All groups must complete all their conditions
Progress Tracking:
Completed: 0/2 groups, Score: 0.00
rubiks_cube: 0/4 conditions (0% complete)
banana: 0/4 conditions (0% complete)
Completed: 0/2 groups, Score: 0.375
rubiks_cube: 0/4 conditions (0% complete)
banana: 3/4 conditions (75% complete)
Completed: 1/2 groups, Score: 0.75
rubiks_cube: 2/4 conditions (50% complete)
banana: 4/4 conditions (100% complete) ✓
Completed: 2/2 groups, Score: 1.0 ✓
rubiks_cube: 4/4 conditions (100% complete) ✓
banana: 4/4 conditions (100% complete) ✓
Mode 2: "any"
Semantics: Success when any single group completes all its conditions
Progress Tracking:
Completed: 0/3 groups, Score: 0.00
red_block: 0/4 conditions (0% complete)
blue_block: 0/4 conditions (0% complete)
green_block: 0/4 conditions (0% complete)
Completed: 0/3 groups, Score: 0.50
red_block: 0/4 conditions (0% complete)
blue_block: 2/4 conditions (50% complete)
green_block: 0/4 conditions (0% complete)
Completed: 1/3 groups, Score: 1.0 ✓ (blue_block completed)
red_block: 0/4 conditions (0% complete)
blue_block: 4/4 conditions (100% complete) ✓
green_block: 1/4 conditions (25% complete)
Mode 3: "choose"
Semantics: Success when exactly K groups complete all their conditions
Important: The K parameter is required when using logical="choose".
Progress Tracking:
Completed: 0/5 groups, Score: 0.30, Need K=2
banana_01: 0/4 conditions (0% complete)
banana_02: 3/4 conditions (75% complete)
banana_03: 1/4 conditions (25% complete)
banana_04: 0/4 conditions (0% complete)
banana_05: 2/4 conditions (50% complete)
Top 2: [0.75, 0.50] → avg = 0.625
Completed: 1/5 groups, Score: 0.75, Need K=2
banana_01: 0/4 conditions (0% complete)
banana_02: 4/4 conditions (100% complete) ✓
banana_03: 1/4 conditions (25% complete)
banana_04: 0/4 conditions (0% complete)
banana_05: 2/4 conditions (50% complete)
Top 2: [1.0, 0.50] → avg = 0.75
Completed: 2/5 groups, Score: 1.0 ✓ (K=2 reached!)
banana_01: 0/4 conditions (0% complete)
banana_02: 4/4 conditions (100% complete) ✓
banana_03: 1/4 conditions (25% complete)
banana_04: 0/4 conditions (0% complete)
banana_05: 4/4 conditions (100% complete) ✓
Top 2: [1.0, 1.0] → avg = 1.0
Composite Functions
Composite functions automatically expand into multiple atomic subtasks, providing convenient shortcuts for common task patterns.
pick_and_place()
The pick_and_place() function is a composite that creates a complete pick-and-place sequence:
Signature:
@composite
def pick_and_place(
object: str | list[str],
container: str,
logical: Literal["all", "any", "choose"] = "all",
K: Optional[int] = None,
score: float = 1.0
) -> Subtask:
Returns: A Subtask dataclass with the following structure:
{
"object1": [
(partial(object_grabbed, object='object1'), 0.25),
(partial(object_above_bottom, object='object1', reference_object='container'), 0.25),
(partial(object_dropped, object='object1'), 0.25),
(partial(object_in_container, object='object1', container='container'), 0.25)
],
"object2": [
# ... same sequence for object2
]
}
Examples:
from robolab.core.task.conditionals import pick_and_place
# Example 1: Both objects must be placed
subtasks = [
pick_and_place(
object=["rubiks_cube", "banana"],
container="bowl",
logical="all",
score=1.0
)
]
# Example 2: Any one object is sufficient
subtasks = [
pick_and_place(
object=["red_block", "blue_block", "green_block"],
container="bin",
logical="any",
score=0.5
)
]
# Example 3: Exactly 2 out of 3 objects
subtasks = [
pick_and_place(
object=["banana_01", "banana_02", "banana_03"],
container="bowl",
logical="choose",
K=2,
score=1.0
)
]
NOTE Do NOT use for termination conditions (use object_placed_in_container instead). Terminations check final state only, while subtasks track intermediate progress.
Sequential Subtasks
Multiple Subtask objects can be chained to create multi-stage tasks. Each stage must complete before the next begins.
Basic Sequential Example
subtasks = [
# Stage 1:
Subtask(...),
# Stage 2:
Subtask(...)
]
Mixed Logical Modes
subtasks = [
# Stage 1: Pick any one block, must be complete before starting the next one
pick_and_place(
object=["red_block", "blue_block"],
container="bowl",
logical="any",
score=0.3
),
# Stage 2: Both fruits must be placed.
pick_and_place(
object=["banana", "apple"],
container="bowl",
logical="all",
score=0.4
),
]
Progress Tracking:
Overall Progress: 0/2 stages complete (0%)
Current Stage 1: logical='any', score=0.3
red_block: 2/4 (50%)
blue_block: 0/4 (0%)
Overall Progress: 1/2 stages complete (50%)
Current Stage 2: logical='all', score=0.4
banana: 0/4 (0%)
apple: 0/4 (0%)
Overall Progress: 2/2 stages complete (100%) ✓
Scoring System
Score Normalization
Within Each Group: Condition scores are relative to each other, normalized to sum to 1.0
# Before normalization
conditions = {
"banana": [
(func1, 0.1),
(func2, 0.2),
(func3, 0.3)
]
}
# Total: 0.6
# After normalization (automatic)
conditions = {
"banana": [
(func1, 0.167), # 0.1 / 0.6
(func2, 0.333), # 0.2 / 0.6
(func3, 0.500) # 0.3 / 0.6
]
}
# Total: 1.0
Across Subtasks: Subtasks are also relative to each other, which will be normalized to 1.
subtasks = [
Subtask(..., score=0.2), # 20% of total task
Subtask(..., score=0.5), # 50% of total task
Subtask(..., score=0.3) # 30% of total task
]
# These don't need to sum to 1.0, but they define relative weights
A visual example of subtask state tracking for a group of objects:
Running RubiksCubeBananaTaskHomeOffice_0: 'put the cube and banana in the bowl'
19%|█████████████████▏ | 90/470 [00:13<01:09, 5.45it/s]
--------------------------------------------------
SUBTASK STATE
--------------------------------------------------
Current Object Progress: {'rubiks_cube': 0, 'banana': 1}
Objects and their current subtasks:
rubiks_cube (step 0/4):
0. ❌ object_grabbed(object=rubiks_cube) <-- CURRENT
1. ❌ object_above_bottom_surface(object=rubiks_cube, surface=bowl) (pending)
2. ❌ object_dropped(object=rubiks_cube) (pending)
3. ❌ object_in_container(object=rubiks_cube, container=bowl, tolerance=0.05) (pending)
banana (step 1/4):
0. ✅ object_grabbed(object=banana) (completed)
1. ❌ object_above_bottom_surface(object=banana, surface=bowl) <-- CURRENT
2. ❌ object_dropped(object=banana) (pending)
3. ❌ object_in_container(object=banana, container=bowl, tolerance=0.05) (pending)
==================================================
Subtask status: i: 90, status: {'status': <SubtaskStatusCode.OBJECT_GRABBED_SUCCESS: 120>, 'completed': 1, 'total': 8, 'info': "success: object_grabbed(object='banana');"}
30%|██████████████████████████▉ | 142/470 [00:23<01:11, 4.56it/s]
--------------------------------------------------
SUBTASK STATE
--------------------------------------------------
Current Object Progress: {'rubiks_cube': 0, 'banana': 2}
Objects and their current subtasks:
rubiks_cube (step 0/4):
0. ❌ object_grabbed(object=rubiks_cube) <-- CURRENT
1. ❌ object_above_bottom_surface(object=rubiks_cube, surface=bowl) (pending)
2. ❌ object_dropped(object=rubiks_cube) (pending)
3. ❌ object_in_container(object=rubiks_cube, container=bowl, tolerance=0.05) (pending)
banana (step 2/4):
0. ✅ object_grabbed(object=banana) (completed)
1. ✅ object_above_bottom_surface(object=banana, surface=bowl) (completed)
2. ❌ object_dropped(object=banana) <-- CURRENT
3. ❌ object_in_container(object=banana, container=bowl, tolerance=0.05) (pending)
==================================================
Subtask status: i: 142, status: {'status': <SubtaskStatusCode.OBJECT_ABOVE_BOTTOM_SURFACE_SUCCESS: 160>, 'completed': 2, 'total': 8, 'info': "success: object_above_bottom_surface(object='banana', surface='bowl');"}
39%|██████████████████████████████████▊ | 184/470 [00:32<01:02, 4.57it/s]
--------------------------------------------------
SUBTASK STATE
--------------------------------------------------
Current Object Progress: {'rubiks_cube': 0, 'banana': 3}
Objects and their current subtasks:
rubiks_cube (step 0/4):
0. ❌ object_grabbed(object=rubiks_cube) <-- CURRENT
1. ❌ object_above_bottom_surface(object=rubiks_cube, surface=bowl) (pending)
2. ❌ object_dropped(object=rubiks_cube) (pending)
3. ❌ object_in_container(object=rubiks_cube, container=bowl, tolerance=0.05) (pending)
banana (step 3/4):
0. ✅ object_grabbed(object=banana) (completed)
1. ✅ object_above_bottom_surface(object=banana, surface=bowl) (completed)
2. ✅ object_dropped(object=banana) (completed)
3. ❌ object_in_container(object=banana, container=bowl, tolerance=0.05) <-- CURRENT
==================================================
Subtask status: i: 184, status: {'status': <SubtaskStatusCode.OBJECT_DROPPED_SUCCESS: 140>, 'completed': 3, 'total': 8, 'info': "success: object_dropped(object='banana');"}
39%|███████████████████████████████████ | 185/470 [00:32<00:57, 4.92it/s]
--------------------------------------------------
SUBTASK STATE
--------------------------------------------------
Current Object Progress: {'rubiks_cube': 0, 'banana': 4}
Objects and their current subtasks:
rubiks_cube (step 0/4):
0. ❌ object_grabbed(object=rubiks_cube) <-- CURRENT
1. ❌ object_above_bottom_surface(object=rubiks_cube, surface=bowl) (pending)
2. ❌ object_dropped(object=rubiks_cube) (pending)
3. ❌ object_in_container(object=rubiks_cube, container=bowl, tolerance=0.05) (pending)
banana (step 4/4):
0. ✅ object_grabbed(object=banana) (completed)
1. ✅ object_above_bottom_surface(object=banana, surface=bowl) (completed)
2. ✅ object_dropped(object=banana) (completed)
3. ✅ object_in_container(object=banana, container=bowl, tolerance=0.05) (completed)
==================================================
Subtask status: i: 185, status: {'status': <SubtaskStatusCode.OBJECT_IN_CONTAINER_SUCCESS: 110>, 'completed': 4, 'total': 8, 'info': "success: object_in_container(object='banana', container='bowl', tolerance=0.05). All subtasks complete for banana.;"}
88%|██████████████████████████████████████████████████████████████████████████████▍ | 414/470 [01:11<00:10, 5.43it/s]
--------------------------------------------------
SUBTASK STATE
--------------------------------------------------
Current Object Progress: {'rubiks_cube': 1, 'banana': 4}
Objects and their current subtasks:
rubiks_cube (step 1/4):
0. ✅ object_grabbed(object=rubiks_cube) (completed)
1. ❌ object_above_bottom_surface(object=rubiks_cube, surface=bowl) <-- CURRENT
2. ❌ object_dropped(object=rubiks_cube) (pending)
3. ❌ object_in_container(object=rubiks_cube, container=bowl, tolerance=0.05) (pending)
banana (step 4/4):
0. ✅ object_grabbed(object=banana) (completed)
1. ✅ object_above_bottom_surface(object=banana, surface=bowl) (completed)
2. ✅ object_dropped(object=banana) (completed)
3. ✅ object_in_container(object=banana, container=bowl, tolerance=0.05) (completed)
==================================================
Subtask status: i: 414, status: {'status': <SubtaskStatusCode.OBJECT_GRABBED_SUCCESS: 120>, 'completed': 5, 'total': 8, 'info': "success: object_grabbed(object='rubiks_cube');"}
93%|██████████████████████████████████████████████████████████████████████████████████▉ | 438/470 [01:17<00:07, 4.56it/s]
--------------------------------------------------
SUBTASK STATE
--------------------------------------------------
Current Object Progress: {'rubiks_cube': 2, 'banana': 4}
Objects and their current subtasks:
rubiks_cube (step 2/4):
0. ✅ object_grabbed(object=rubiks_cube) (completed)
1. ✅ object_above_bottom_surface(object=rubiks_cube, surface=bowl) (completed)
2. ❌ object_dropped(object=rubiks_cube) <-- CURRENT
3. ❌ object_in_container(object=rubiks_cube, container=bowl, tolerance=0.05) (pending)
banana (step 4/4):
0. ✅ object_grabbed(object=banana) (completed)
1. ✅ object_above_bottom_surface(object=banana, surface=bowl) (completed)
2. ✅ object_dropped(object=banana) (completed)
3. ✅ object_in_container(object=banana, container=bowl, tolerance=0.05) (completed)
==================================================
Subtask status: i: 438, status: {'status': <SubtaskStatusCode.OBJECT_ABOVE_BOTTOM_SURFACE_SUCCESS: 160>, 'completed': 6, 'total': 8, 'info': "success: object_above_bottom_surface(object='rubiks_cube', surface='bowl');"}
97%|██████████████████████████████████████████████████████████████████████████████████████▎ | 456/470 [01:20<00:02, 4.73it/s]
--------------------------------------------------
SUBTASK STATE
--------------------------------------------------
Current Object Progress: {'rubiks_cube': 3, 'banana': 4}
Objects and their current subtasks:
rubiks_cube (step 3/4):
0. ✅ object_grabbed(object=rubiks_cube) (completed)
1. ✅ object_above_bottom_surface(object=rubiks_cube, surface=bowl) (completed)
2. ✅ object_dropped(object=rubiks_cube) (completed)
3. ❌ object_in_container(object=rubiks_cube, container=bowl, tolerance=0.05) <-- CURRENT
banana (step 4/4):
0. ✅ object_grabbed(object=banana) (completed)
1. ✅ object_above_bottom_surface(object=banana, surface=bowl) (completed)
2. ✅ object_dropped(object=banana) (completed)
3. ✅ object_in_container(object=banana, container=bowl, tolerance=0.05) (completed)
==================================================
Subtask status: i: 456, status: {'status': <SubtaskStatusCode.OBJECT_DROPPED_SUCCESS: 140>, 'completed': 7, 'total': 8, 'info': "success: object_dropped(object='rubiks_cube');"}
97%|██████████████████████████████████████████████████████████████████████████████████████▋ | 458/470 [01:21<00:02, 5.18it/s]
--------------------------------------------------
SUBTASK STATE
--------------------------------------------------
Current Object Progress: {'rubiks_cube': 4, 'banana': 4}
Objects and their current subtasks:
rubiks_cube (step 4/4):
0. ✅ object_grabbed(object=rubiks_cube) (completed)
1. ✅ object_above_bottom_surface(object=rubiks_cube, surface=bowl) (completed)
2. ✅ object_dropped(object=rubiks_cube) (completed)
3. ✅ object_in_container(object=rubiks_cube, container=bowl, tolerance=0.05) (completed)
banana (step 4/4):
0. ✅ object_grabbed(object=banana) (completed)
1. ✅ object_above_bottom_surface(object=banana, surface=bowl) (completed)
2. ✅ object_dropped(object=banana) (completed)
3. ✅ object_in_container(object=banana, container=bowl, tolerance=0.05) (completed)
==================================================
Subtask status: i: 458, status: {'status': <SubtaskStatusCode.OBJECT_IN_CONTAINER_SUCCESS: 110>, 'completed': 8, 'total': 8, 'info': "success: object_in_container(object='rubiks_cube', container='bowl', tolerance=0.05). All subtasks complete for rubiks_cube.;"}
Subtask Counts & Difficulty Scoring
Tasks are automatically assigned a difficulty score and difficulty label based on their subtask structure and attributes. This scoring is deterministic and computed from the task definition — no manual labeling is required.
Subtask Counts (num_subtasks)
The num_subtasks metric counts the number of distinct manipulation actions the robot must perform, accounting for the subtask's logical mode:
| Logical Mode | Subtask Count |
|---|---|
"all" |
Number of object groups (every group must complete) |
"any" |
1 (only one group needs to complete) |
"choose" |
K (exactly K groups must complete) |
The total is summed across all sequential stages in the task. For example, a task with two sequential stages — the first requiring "all" of 2 objects, the second "any" of 3 — has 2 + 1 = 3 subtasks.
See count_subtasks() in robolab/core/task/subtask_utils.py.
Difficulty Score
The difficulty score combines manipulation volume with skill complexity:
difficulty_score = num_subtasks + max(skill_weight)
where max(skill_weight) is the highest weight among the task's attributes. The skill weights are:
| Weight | Attributes |
|---|---|
| 0 | color, semantics, size, conjunction, vague |
| +1 | spatial |
| +2 | counting, sorting, stacking, affordance |
| +3 | reorientation |
Difficulty Labels
Labels are assigned based on the score using fixed thresholds:
| Label | Score Range |
|---|---|
| simple | score <= 2 |
| moderate | score 3–4 |
| complex | score >= 5 |
Examples
| Task | Subtasks | Max Skill Weight | Score | Label |
|---|---|---|---|---|
RubiksCubeTask (1 pick-and-place, no special attrs) |
1 | 0 | 1 | simple |
BowlStackingLeftOnRightTask (1 subtask, spatial) |
1 | 1 (spatial) | 2 | simple |
Stack3RubiksCubeTask (2 subtasks, stacking) |
2 | 2 (stacking) | 4 | moderate |
BlockStackingSpecifiedOrderTask (3 subtasks, stacking+color) |
3 | 2 (stacking) | 5 | complex |
ReorientAllMugsTask (4 subtasks, reorientation) |
4 | 3 (reorientation) | 7 | complex |
Implementation
The scoring constants and function live in robolab/core/task/subtask_utils.py:
SKILL_WEIGHTS— attribute-to-weight mappingDIFFICULTY_THRESHOLDS—(simple_max, moderate_max)tuplecompute_difficulty_score(num_subtasks, attributes)— returns(score, label)
The metadata pipeline (robolab/tasks/_utils/load_task_info.py) automatically populates num_subtasks, difficulty_score, and difficulty_label for each task. Summary statistics are available via:
python robolab/tasks/_utils/compute_task_statistics.py --difficulty
python robolab/tasks/_utils/compute_task_statistics.py --difficulty -v # full task list