2026
Learning Neural Observer-Predictor Models for Limb-Level Sampling-Based Locomotion Planning
ICRA 2026poster
Accurate full-body motion prediction is essential for the safe, autonomous navigation of legged robots, enabling critical capabilities like limb-level collision checking in cluttered environments. Simplified kinematic models often fail to capture the complex, closed-loop dynamics of the robot and it…