Title :
LEMMING: A learning system for multi-robot environments
Author :
Ohko, Takuya ; Hiraki, Kazuo ; Anzai, Yuichiro
Author_Institution :
Dept. of Comput. Sci., Keio Univ., Yokohama, Japan
Abstract :
Describes LEMMING, a learning system for multiple mobile robot environments. LEMMING extends the idea of the broadcast-based contract net protocol with CBR (case-based reasoning). In terms of the CBR mechanism, LEMMING can learn to select appropriate robots for a given task. Thus, LEMMING makes it possible to reduce the waste of communication resources and the trouble of processing irrelevant messages. The paper evaluates LEMMING with some experiments and shows that LEMMING can deal with task negotiation more effectively than a broadcast-based contract net system
Keywords :
learning systems; LEMMING; broadcast-based contract net protocol; case-based reasoning; communication resources; irrelevant messages; learning system; multiple mobile robot environments; robot selection; task negotiation; Broadcasting; Contracts; Costs; IEEE news; Learning systems; Mobile communication; Mobile robots; Programming profession; Protocols; Resource management;
Conference_Titel :
Intelligent Robots and Systems '93, IROS '93. Proceedings of the 1993 IEEE/RSJ International Conference on
Conference_Location :
Yokohama
Print_ISBN :
0-7803-0823-9
DOI :
10.1109/IROS.1993.583337
