Design and Gait Generation of an Asymmetrical Tripedal Low-Rigidity Robot with a Chair-Like Body Structure

This study designs a chair-type asymmetrical tripedal low-rigidity robot and generates its gait using two methods: connecting essential postures and reinforcement learning. Both methods successfully produced walking and stand-up motions, with the reinforcement learning approach demonstrating more stable and adaptable gaits.