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Mujoco_WASM/mjx/mujoco/mjx/test_data/humanoid
Baruch Tabanpour 47bc16a37c Add mujoco_warp as an implementation in mjx.
PiperOrigin-RevId: 789366860
Change-Id: I84b49e744552092434df49d855f1052b04291b87
2025-07-31 09:33:35 -07:00
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Humanoid

Degrees of Freedom: 27 Actuators: 21

This is a clone of the MuJoCo Humanoid with the following changes:

  • Solver switched to CG with 8 iterations
  • Explicit contact pairs for feet and ground (compatible with OpenAI Gym Humanoid environment)

This simplified humanoid model, introduced in [1], is designed for bipedal locomotion behaviours. While several variants of it exist in the wild, this version is based on the model in the DeepMind Control Suite [2], which has fairly realistic actuator gains.

[1] [Synthesis and Stabilization of Complex Behaviors through Online Trajectory Optimization] (https://doi.org/10.1109/IROS.2012.6386025).

[2] DeepMind Control Suite.

humanoid