FROM TRAJECTORY OPTIMIZATION TO LEARNING: DEVELOPING CONTROLLERS FOR DYNAMIC LEGGED ROBOTS
Legged robots are well suited for cluttered, uneven, and human-centered environments that remain challenging for wheeled systems. However, achieving agile, robust, and efficient locomotion comparable to that of humans and animals in such settings remains difficult due to underactuation, nonlinear hybrid dynamics, and t...