| ## Building Your Own Environments | |
| **robosuite** offers great flexibility in creating your own environments. A [task](../modeling/task) typically involves the participation of a [robot](../modeling/robot_model) with [grippers](../modeling/robot_model.html#gripper-model) as its end-effectors, an [arena](../modeling/arena) (workspace), and [objects](../modeling/object_model) that the robot interacts with. For a detailed overview of our design architecture, please check out the [Overview](../modules/overview) page in Modules. Our Modeling APIs provide methods of composing these modularized elements into a scene, which can be loaded in MuJoCo for simulation. To build your own environments, we recommend you take a look at the [Environment classes](../simulation/environment) which have used these APIs to define robotics environments and tasks and the [source code](https://github.com/ARISE-Initiative/robosuite/tree/master/robosuite/environments) of our standardized environments. Below we walk through a step-by-step example of building a new tabletop manipulation environment with our APIs. | |
| **Step 1: Creating the world.** All mujoco object definitions are housed in an xml. We create a [MujocoWorldBase](../source/robosuite.models) class to do it. | |
| ```python | |
| from robosuite.models import MujocoWorldBase | |
| world = MujocoWorldBase() | |
| ``` | |
| **Step 2: Creating the robot.** The class housing the xml of a robot can be created as follows. | |
| ```python | |
| from robosuite.models.robots import Panda | |
| mujoco_robot = Panda() | |
| ``` | |
| We can add a gripper to the robot by creating a gripper instance and calling the add_gripper method on a robot. | |
| ```python | |
| from robosuite.models.grippers import gripper_factory | |
| gripper = gripper_factory('PandaGripper') | |
| mujoco_robot.add_gripper(gripper) | |
| ``` | |
| To add the robot to the world, we place the robot on to a desired position and merge it into the world | |
| ```python | |
| mujoco_robot.set_base_xpos([0, 0, 0]) | |
| world.merge(mujoco_robot) | |
| ``` | |
| **Step 3: Creating the table.** We can initialize the [TableArena](../source/robosuite.models.arenas) instance that creates a table and the floorplane | |
| ```python | |
| from robosuite.models.arenas import TableArena | |
| mujoco_arena = TableArena() | |
| mujoco_arena.set_origin([0.8, 0, 0]) | |
| world.merge(mujoco_arena) | |
| ``` | |
| **Step 4: Adding the object.** For details of `MujocoObject`, refer to the documentation about [MujocoObject](../modeling/object_model), we can create a ball and add it to the world. | |
| ```python | |
| from robosuite.models.objects import BallObject | |
| from robosuite.utils.mjcf_utils import new_joint | |
| sphere = BallObject( | |
| name="sphere", | |
| size=[0.04], | |
| rgba=[0, 0.5, 0.5, 1]).get_obj() | |
| sphere.set('pos', '1.0 0 1.0') | |
| world.worldbody.append(sphere) | |
| ``` | |
| **Step 5: Running Simulation.** Once we have created the object, we can obtain a `mujoco.MjModel` model by running | |
| ```python | |
| model = world.get_model(mode="mujoco") | |
| ``` | |
| This is an `MjModel` instance that can then be used for simulation. For example, | |
| ```python | |
| import mujoco | |
| data = mujoco.MjData(model) | |
| while data.time < 1: | |
| mujoco.mj_step(model, data) | |
| ``` | |