Preprint
Aug 2026
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
This work proposes a hierarchical reinforcement learning pipeline that empowers the robots to perform aggressive locomotion through constrained obstacles--a narrow gate, extending the lifelike agility of legged robots to match that of their biological counterparts.
Zeren Luo, Jiahui Zhang, Yimin Han et al.
· 1 citation