Bio-inspired approach to learning robot motion trajectories and visual control commands
We propose a robust bio-inspired learning control approach (BILCA) for mobile robots. Novel approach treats the robot trajectory learning and visual homing problems. First paper to integrate metaheuristic algorithm and trajectory learning problem in robots. First paper to integrate metaheuristic technique and visual homing strategy in robots. Various simulations and a real world experiment confirm applicability and usefulness of BILCA.
visual control mobile robot firefly algorithm learning from demonstration homography particle swarm optimization bat algorithm