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environments

environments

Create, configure, step, validate, and wrap standardized robosuite manipulation envs.

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Documentación de la Skill

GitHub

name: environments description: "Create, configure, step, validate, and wrap standardized robosuite manipulation envs." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Environments

Use this sub-skill for standardized robosuite manipulation envs, including suite.make, MujocoEnv, RobotEnv, Lift, TwoArmLift, and the other registered task envs.

Use this sub-skill for

  • selecting env_name, robots, env_configuration, and gripper_types
  • creating single-arm and two-arm envs
  • reading action_spec / action_dim
  • choosing use_object_obs vs use_camera_obs
  • understanding rewards, horizon, ignore_done, and seed
  • using GymWrapper
  • running safe random-policy smoke loops

Do not use this sub-skill for

  • controller internals and action-vector composition → ../controllers
  • rendering backend or pixel troubleshooting → ../rendering
  • teleoperation or demo capture → ../teleoperation
  • custom env/model creation

Start here

  • references/api-reference.md
  • references/observations-and-rewards.md
  • references/workflows.md
  • references/troubleshooting.md

Bundled scripts

  • scripts/run_random_policy.py — small random rollout with action/observation summaries
  • scripts/gym_wrapper_smoke.py — Lift/Panda GymWrapper smoke step

Notes

  • Optional capabilities such as robosuite_models, mink, HID devices, usd-core, Isaac/Omniverse, and on-screen display are environment-dependent.
  • Keep the core standardized env workflows working without those optional pieces.

Related sub-skills

  • ../controllers
  • ../rendering
  • ../teleoperation
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