DocumentCode :
2337957
Title :
Cooperation of multiple robots in cellular robotic system based on information sharing
Author :
Anhui Cai ; Fukuda, T. ; Arai, F.
Author_Institution :
Dept. of Micro-Syst. Eng., Nagoya Univ., Japan
fYear :
1997
fDate :
20-20 June 1997
Firstpage :
20
Abstract :
Summary form only given. A robotic system to cope with dynamic environments and multiple tasks is usually complex. Although the optimization of the whole robotic system operation based on centralized control can be relatively easily realized, the fatal weaknesses with centralized-based control in complexity, flexibility, robustness, reliability, expandability, etc., are often exposed. So, we have proposed a distributed-approach based cellular robotic system (CEBOT). Generally, the cooperation among multiple robots for task completion is mainly emphasized in CEBOT. Because the cooperation does not rely on centralized control mechanism but on autonomous actions of a robot unit, action decision and related efficiency of decisions of the robot unit for cooperation become the key of system operation. Problems of cooperation among multiple robots in CEBOT based on information sharing are described. Information sharing in three aspects (task descriptions, acquiring of robot states and acquiring of environment states) is discussed, and a hierarchical control architecture considering information sharing in three levels is proposed to enhance the efficiency of reasoning and planning for cooperative actions. Then, motion cooperation among multiple mobile robots in CEBOT is dealt with, based on information sharing about robot states and environment sensing. Finally, in order to confirm the effectiveness of motion cooperation among mobile robots based on information sharing, the experiments with a CEBOT prototype-CEBOT Mark-V are completed.
Keywords :
cooperative systems; distributed control; hierarchical systems; inference mechanisms; mobile robots; path planning; position control; CEBOT Mark-V; action decision; autonomous actions; cellular robotic system; cooperation; decision efficiency; distributed approach; dynamic environments; hierarchical control architecture; information sharing; motion cooperation; multiple robots; planning; reasoning; task completion; Centralized control; Collision avoidance; Computer aided instruction; Control systems; Mobile robots; Motion planning; Prototypes; Robot sensing systems; Robust control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics '97. Final Program and Abstracts., IEEE/ASME International Conference on
Conference_Location :
Tokyo, Japan
Print_ISBN :
0-7803-4080-9
Type :
conf
DOI :
10.1109/AIM.1997.652878
Filename :
652878
Link To Document :
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