Yong Um

Reinforcement Learning-Based Robust Wall Climbing Locomotion Controller in Ferromagnetic Environment

We present a reinforcement learning framework for quadrupedal wall-climbing locomotion that explicitly addresses uncertainty in magnetic foot adhesion. A physics-based adhesion model of a quadrupedal magnetic climbing robot is incorporated into simulation to capture partial contact, air-gap sensitiv…