Application and evaluation of reinforcement learning for two-dimensional trajectory tracking in snake-like robots
Context—Snake-like robots are biomimetic systems that can move effectively in narrow, complex, and restricted environments thanks to their modular and flexible body structures composed of numerous serially connected joints. These characteristics offer significant advantages, particularly in areas such as pipeline inspe...