Title :
Adaptive multi-robot behavior via learning momentum
Author :
Lee, J. Brian ; Arkin, Ronald C.
Author_Institution :
Mobile Robot Laboratory, Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper, the effects of adaptive robotic behavior via learning momentum in the context of a robotic team are studied. Learning momentum is a variation on parametric adjustment methods that has previously been successfully applied to enhance individual robot performance. In particular, we now assess, via simulation, the potential advantages of a team of robots using this capability to alter behavioral parameters when compared to a similar team of robots with static parameters.
Keywords :
adaptive control; learning systems; legged locomotion; multi-robot systems; path planning; adaptive multi-robot behavior; behavioral parameters; learning momentum; parametric adjustment methods; robotic team; static parameters; Educational institutions; Laboratories; Machine learning; Mars; Mobile robots; Multiagent systems; Navigation; Protection; Robot sensing systems; Uncertainty;
Conference_Titel :
Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7860-1
DOI :
10.1109/IROS.2003.1248962
