Wheeled-quadruped racing paper controls load transfer on Unitree Go2-W
Evidence notes
- The paper presents a hierarchical MPC and reinforcement-learning framework for active roll control during autonomous wheeled-quadruped racing.
- The controller uses a vehicle-dynamics bicycle model of the Unitree Go2-W platform and deploys a low-level whole-body RL policy on the robot actuators.
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.