RuN paper demonstrates natural walk-run transitions on Unitree G1
Evidence notes
- RuN pairs a conditional motion generator with residual reinforcement learning to produce natural humanoid locomotion.
- Simulation and real-world experiments use a Unitree G1 humanoid and cover speeds from walking through running.
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.