Title :
Underwater transportation of multiple fish-like robots using situation based action selection
Author :
Shao, Jinyan ; Wang, Long ; Yu, Junzhi
Author_Institution :
Intelligent Control Lab., Peking Univ., Beijing
Abstract :
This paper is concerned with a novel problem of underwater cooperative transportation of multiple fishlike robots. A situation based action selection mechanism is proposed for the robots to transport a floating object to its destination. There are various control methods for cooperation of multi-robot system, but few of them deal with the underwater applications. In this paper, we first present the development of a series of biomimetic fish-like robots. Then, employing these robotic fish, we design and implement a cooperative transportation task utilizing a situation based action selection approach. We fully implement our method on three fish-like robots and make various experiments in a lab environment
Keywords :
mobile robots; multi-robot systems; underwater vehicles; biomimetic fish-like robots; multi-robot system; multiple fish-like robots; selection mechanism; situation based action selection; underwater cooperative transportation; Biomimetics; Control systems; Intelligent control; Laboratories; Marine animals; Oceans; Propulsion; Robot kinematics; Tail; Transportation;
Conference_Titel :
Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9505-0
DOI :
10.1109/ROBOT.2006.1642190