Bio-inspired approach to learning robot motion trajectories and visual control commands
作者：
Highlights：
• 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.
摘要
•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.
论文关键词：Firefly Algorithm,Mobile robot,Learning from Demonstration,Visual control,Homography,Particle Swarm Optimization,Bat Algorithm
论文评审过程：Available online 13 November 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.10.053
