CART terrain-adaptation paper evaluates context-aware locomotion on Spot

Evidence notes
- The CART paper introduces context-aware terrain adaptation using temporal sequence selection for legged robots.
- The authors evaluate the method in simulation with Unitree Go2 and ANYmal-C and in real-world experiments with Boston Dynamics Spot.
- The results report improved locomotion behavior on varied terrain by linking exteroceptive terrain appearance with proprioceptive physical interaction.
Company context
Boston Dynamics builds high-performance mobile robots including Spot for industrial and field inspection, Stretch for warehouse trailer unloading, and Atlas for advanced humanoid mobility.