Gait-conditioned reinforcement-learning paper validates multi-gait locomotion on Unitree G1
Evidence notes
- The paper introduces a gait-conditioned reinforcement-learning framework for standing, walking, running, and smooth transitions within one recurrent humanoid policy.
- The authors validate standing, walking, and walk-to-stand transitions on a real Unitree G1 humanoid.
Company context
Develops quadruped and humanoid robots, with strength in dynamic locomotion, vertically integrated hardware, and relatively low-cost commercial deployment. Unitree is one of the clearest examples of a legged robotics company moving from research visibility into real productisation and broader market distribution.