DocumentCode
2541036
Title
Learning navigation for recharging a self-sufficient colony robot
Author
Parker, Gary ; Zbeda, Richard
Author_Institution
Connecticut Coll., New London
fYear
2007
fDate
7-10 Oct. 2007
Firstpage
734
Lastpage
740
Abstract
It is desirable that colony robots be autonomous and self-sufficient, which requires that they can perform their duties while maintaining enough energy to operate. In previous work, we reported the equipping of legged robots with high capacitance capacitors for power storage and the configuration of one of these robots to make practical use of its power storage in a colony recharging system. Research reported in this paper involves the learning of a control program that allows this robot to navigate to a charging station. The viability of the configuration and the learned control program were verified by observing the actual robot as it operated using the best of the solutions produced in simulation.
Keywords
genetic algorithms; intelligent robots; learning systems; mobile robots; multi-robot systems; navigation; path planning; autonomous robot; control program learning; cyclic genetic algorithm; navigation learning; self-sufficient colony robot recharging; Batteries; Capacitors; Ecosystems; Fuels; Legged locomotion; Mobile robots; Navigation; Power generation; Power supplies; Steel;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location
Montreal, Que.
Print_ISBN
978-1-4244-0990-7
Electronic_ISBN
978-1-4244-0991-4
Type
conf
DOI
10.1109/ICSMC.2007.4413695
Filename
4413695
Link To Document