Constraint-enhanced RL paper validates actuator-rate-aware control on Unitree H1
Evidence notes
- The paper proposes dynamic decoupled spherical radial squashing to handle heterogeneous actuator-rate constraints in reinforcement-learning policies.
- High-fidelity Isaac Lab simulations use Unitree H1 and G1 humanoid robots to validate coverage and control performance.
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.