EgoNav paper zero-shot deploys human-data navigation on Unitree G1
Evidence notes
- EgoNav learns humanoid navigation entirely from five hours of human walking data rather than robot demonstrations.
- The system combines visual memory, video features, diffusion trajectory prediction and receding-horizon control.
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.