RoboAtlas paper evaluates contextual active SLAM on Unitree Go2
Evidence notes
- RoboAtlas combines frontier exploration, global semantic-map reasoning, and egocentric VLM reasoning for contextual Active SLAM.
- The system is evaluated on a Unitree Go2 in real-world environments exceeding 1,800 square meters with about 30,000 mapped semantic instances.
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.