Fei-Ge Wang

A computational framework for Kármán gaiting in robotic fish: spatio-temporal perception and CPG-based reinforcement learning

A fully computational framework focusing on the modeling and simulation of a spatio-temporal sensory system to autonomously generate the Kármán gait is proposed, providing a robust algorithmic blueprint for future physical deployments in complex aquatic environments.