StairMaster paper deploys hollow-stair locomotion policy on Unitree Go2
Evidence notes
- StairMaster is a three-stage reinforcement-learning framework for quadruped locomotion on risky hollow stairs.
- The paper deploys the policy on a Unitree Go2 robot and reports zero-shot stair climbing up to a 55-degree incline.
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.