2026
Teacher-Guided Terrain-Aware Learning for Recovery of Quadruped Robots
RA-L 2026
Autonomous post-fall recovery is a key bottleneck for long-duration deployment of legged robots, yet prevailing methods depend on flat-ground target poses and heuristic rewards and thus fail to generalize under irregular terrain and random initial states. We introduce a teacher-guided, terrain-aware