Bipedalism paper deploys risk-adaptive loco-manipulation policy on Unitree Go2
Evidence notes
- The paper proposes a risk-adaptive reinforcement-learning framework that enables a quadruped to walk on its hind legs for loco-manipulation.
- Real-world deployment on a Unitree Go2 robot demonstrates cart pushing, obstacle probing, payload transport, and robustness to disturbances.
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.