Continuous Jumping

Continuous jumping in robots is an active research area focused on enabling legged robots to execute a series of jumps autonomously and robustly across varied terrains. Current research employs hierarchical control frameworks combining reinforcement learning (for adaptable high-level planning) with model predictive control (for precise low-level execution) and often incorporates learned models to improve robustness and accuracy. This work is significant for advancing legged robot mobility in challenging environments, with applications ranging from search and rescue to space exploration.