ROBOTICS & PHYSICAL AI

Dynamic balance & locomotion (Unitree G1 / Go1)

Dynamic balance & locomotion (Unitree G1 / Go1) is an OpenEnv-compatible reinforcement learning environment in our Robotics & Physical AI catalog. An agent acts through the tools below, and a deterministic verifier scores every episode, so the reward can be used for GRPO or other RLVR post-training.

Task and verification

Stabilize dynamic bipedal and quadrupedal gaits under lateral push disturbances and slippery terrain in MuJoCo. Joint torque limits, ground reaction forces, and zero-fall recovery gate reward.

Tools and runtime

MuJoCo 3.3 + torque-limited joint controllers + contact physics

OPENENV / MUJOCO

Related Robotics & Physical AI gyms

• Autonomous driving (CARLA)
• ManiSkill articulation & contact
• LeRobot imitation & policy learning
• PX4 drone aerial navigation
• Sim-to-real robotic calibration
• Real robot arm manipulation (Viam)
• Mobile robot indoor navigation (Gazebo)
• Multi-robot swarm coordination (Robotarium)
• Bimanual stationery manipulation
• MuJoCo batched CPU rollouts (MjBatch)

See how these environments are run privately on the custom RL environments page, and how their rewards are made hard to game in our verifier design guide.

Plan a training run

Check the environment’s availability, compatible models and compute in Studio. A catalog entry does not guarantee that hosted training is enabled for your workspace.