3 accepted papers
Bridging the sim-to-real gap is important for applying low-cost simulation data to real-world robotic systems. However, previous methods are severely limited by treating each transfer as an isolated endeavor, demanding repeated, costly tuning and wasting prior transfer experience.To move beyond isol
Achieving autonomous navigation for biologically inspired jumping robots remains a long-standing challenge, due to the inherent instability of jumping motions and the limitations in onboard sensor capabilities. This paper proposes a skill-based hierarchical framework with dangerous action masking (S
Jumping is a key locomotion for miniature robots, but it is difficult for a robot to jump a long distance without flipping. To solve this problem, we develop a miniature locust-inspired jumping robot, which has a body length of 10 cm and weight of 60 g. On the basis of the extracted skeletal muscle