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JRM Vol.22 No.4 pp. 485-495
doi: 10.20965/jrm.2010.p0485
(2010)

Paper:

Fault-Tolerant Multi-Robot Operational Strategy for Material Transport Systems Considering Maintenance Activity

Satoshi Hoshino*, Hiroya Seki*, Yuji Naka*,
and Jun Ota**

*Chemical Resources Laboratory, Tokyo Institute of Technology, R1-19, 4259 Nagatsuta, Midori-ku, Yokohama, Kanagawa 226-8503, Japan

**Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan

Received:
December 21, 2009
Accepted:
April 19, 2010
Published:
August 20, 2010
Keywords:
multiple robots, fault tolerance, maintenance, industrial application, material transport system
Abstract

In automated robotic systems, a robot undergoing corrective maintenance (i.e., repair) or preventive maintenance (i.e., inspection) may become a disturbance of operations for other working robots. Therefore, maintenance of a robot has to be performed adequately. Multi-robot systems have the capability for the substitution and complement of such a robot. To introduce the multi-robot technology in industrial applications, we propose fault-tolerant multi-robot operational strategies for a material transport system focusing on the robot behavior. Working robots, while switching between normal and fault-tolerant operational strategies reactively according to the presence or absence of a robot undergoing maintenance, accomplish tasks. Through simulation experiments, the effectiveness of the proposed strategies is discussed. In addition, an integrated strategy for some failure rates of the robot is investigated. Finally, a maintenance activity for the robots is modeled on the basis of reliability engineering and the reasonability of preventive and corrective maintenance is discussed.

Cite this article as:
Satoshi Hoshino, Hiroya Seki, Yuji Naka, and
and Jun Ota, “Fault-Tolerant Multi-Robot Operational Strategy for Material Transport Systems Considering Maintenance Activity,” J. Robot. Mechatron., Vol.22, No.4, pp. 485-495, 2010.
Data files:
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