Adaptive-model Optimization for Robust and Dynamic Bipedal Jumping
A novel adaptive-model optimization framework is proposed to efficiently generate accurate and hardware-realizable bipedal jumping trajectories, leveraging adaptive dynamics models and adaptive sampling frequencies during different phases of the jumping motion.
