Decentralized Evolution of Hexapod Gaits with Independent Leg Controllers
This paper presents a novel approach to hexapod locomotion by evolving each leg's gait independently through a decentralized evolutionary algorithm, reducing the complexity of gait optimization and highlighting the potential of decentralized strategies for scalable and adaptive robotic systems.