use official unitree motor as default; disable randomized action delay env; update readme.
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16
README.md
16
README.md
@@ -180,17 +180,15 @@ xml_path: "{ROOT_DIR}/resources/go2/your-custom-scene.xml"
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## Differences from `go2_rl_gym`
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- Different tracking reward formulation (fixed sigma vs. dynamic sigma)
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- Different rewards:
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- Motor:
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- use official unitree motor model instead of simple PD controller
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- Rewards:
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- different tracking reward form (fixed sigma vs. dynamic sigma)
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- lower joint_acc_l2 weight in Lab due to physics-step level implementation and sensitivity to outliers
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- extra joint_pos_penalty_l1 reward in Lab due to better performance
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- Lack domain_rand: randomize_motor_strength
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---
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## TODO
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- Try replacing ActionManager-level delay with `DelayedPDActuatorCfg` or `UnitreeActuatorCfg_Go2HV`, and make sure the randomization of motor parameters works correctly.
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- Domain randomization:
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- no randomized action delay, use motor-level delay instead
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- no motor strength randomization due to implementation constraints in Lab.
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---
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@@ -19,8 +19,8 @@ from isaaclab_tasks.utils import import_packages
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##
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gym.register(
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id="RobotLab-Go2-v0",
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# entry_point="robot_lab.tasks.go2.env.go2_env:Go2Env",
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entry_point="robot_lab.tasks.go2.env.go2_env:ActionDelayGo2Env",
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entry_point="robot_lab.tasks.go2.env.go2_env:Go2Env",
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# entry_point="robot_lab.tasks.go2.env.go2_env:ActionDelayGo2Env", # using motor-level delay, so disabled env-level delay
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disable_env_checker=True,
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kwargs={
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"env_cfg_entry_point": f"{__name__}.env_cfg:Go2EnvCfg",
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@@ -60,7 +60,7 @@ class Go2SceneCfg(InteractiveSceneCfg):
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debug_vis=False
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)
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robot: ArticulationCfg = GO2_CFG_ROBOTLAB.replace(prim_path="{ENV_REGEX_NS}/Robot")
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robot: ArticulationCfg = GO2_CFG_UNITREE.replace(prim_path="{ENV_REGEX_NS}/Robot")
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height_scanner = RayCasterCfg(
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prim_path="{ENV_REGEX_NS}/Robot/base",
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