Long-Distance Real-World Navigation of the Legged-Wheeled Robot Go2-W Using Deep Reinforcement Learning
The paper builds a deep-reinforcement-learning locomotion controller and autonomous navigation system for the commercially available Go2-W.
Evidence notes
- The controller extends a proprioception-only quadruped policy to the 16-DoF legged-wheeled platform.
- The work reports long-range autonomous navigation experiments with the Go2-W in real-world environments.
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.