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

Apr 15, 2026 · Research Publication · Boston Dynamics · Humanoid

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Company media · Boston Dynamics
  • 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.

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.