Jihong Kim

Reinforcement Learning for Robust Climbing Locomotion With Rope-Driven Legged Robot

This study presents a novel control framework for climbing robots that utilizes both rope and leg mechanisms. The proposed robot ascends steep slopes using two ropes while maintaining its balance and adapting its pose to uneven surfaces through its four legs. The robot's overall movement on the slop