An Adaptable Approach to Learn Realistic Legged Locomotion without Examples
Daniel Ordonez-Apraez,Antonio Agudo,Francesc Moreno-Noguer,Mario Martin,Daniel Ordonez-Apraez,Antonio Agudo,Francesc Moreno-Noguer,Mario Martin
Learning controllers that reproduce legged locomotion in nature has been a longtime goal in robotics and computer graphics. While yielding promising results, recent approaches are not yet flexible enough to be applicable to legged systems of different morphologies. This is partly because they often rely on precise motion capture references or elaborate learning environments that ensure the natural...
