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

Paper:

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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
Creative Commons License
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:
S. Hoshino, H. Seki, Y. Naka, and J. 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.
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References
  1. [1] F. Taghaboni-Dutta and J. M. A. Tanchoco, “Comparison of Dynamic Routing Techniques for Automated Guided Vehicle Systems,” Production Research, Vol.33, No.10, pp. 2653-2669, 1995.
  2. [2] A. Langevin, D. Lauzon, and D. Riopel, “Dispatching, Routing, and Scheduling of Two Automated Guided Vehicles in a Flexible Manufacturing System,” Int. J. of Flexible Manufacturing Systems, Vol.8, No.3, pp. 247-262, 1996.
  3. [3] I. Sabuncuoglu, “A Study of Scheduling Rules of Flexible Manufacturing Systems: A Simulation Approach,” Int. J. of Production Research, Vol.36, No.2, pp. 527-546, 1998.
  4. [4] D. Y. Lee and F. DiCesare, “Integrated Scheduling of Flexible Manufacturing Systems Employing Automated Guided Vehicles,” IEEE Trans. on Industrial Electronics, Vol.41, No.6, pp. 602-610, 1994.
  5. [5] N. Q. Wu and M. C. Zhou, “Modeling and Deadlock Control of Automated Guided Vehicle Systems,” IEEE/ASME Trans. on Mechatronics, Vol.9, No.1, pp. 50-57, 2004.
  6. [6] J. Carlson and R. R. Murphy, “Reliability Analysis of Mobile Robots,” in IEEE Int. Conf. on Robotics and Automation, pp. 274-281, 2003.
  7. [7] E. N. Skoundrianos and S. G. Tzafestas, “Finding Fault – Fault Diagnosis on the Wheels of a Mobile Robot Using Local Model Neural Networks,” IEEE Robotics and Automation Magazine, Vol.11, No.3, pp. 83-90, 2004.
  8. [8] A. L. Christensen, R. O’Grady, M. Birattari, and M. Dorigo, “Fault Detection in Autonomous Robots Based on Fault Injection and Learning,” Autonomous Robots, Vol.24, No.1, pp. 49-68, 2008.
  9. [9] M. T. Long, R. R Murphy, and L. E. Parker, “Distributed Multi-Agent Diagnosis and Recovery from Sensor Failures,” in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 2506-2513, 2003.
  10. [10] L. E. Parker and B. Kannan, “Adaptive Causal Models for Fault Diagnosis and Recovery in Multi-Robot Teams,” in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 2703-2710, 2006.
  11. [11] L. E. Parker, “ALLIANCE: An Architecture for Fault Tolerant Multi-Robot Cooperation,” IEEE Trans. on Robotics and Automation, Vol.14, No.2, pp. 220-240, 1998.
  12. [12] B. P. Gerkey and M. J. Mataric, “Push-watcher: An approach to Fault-Tolerant Tightly-Coupled Robot Coordination,” in IEEE Int. Conf. on Robotics and Automation, pp. 464-469, 2002.
  13. [13] T. Suzuki, S. Inagaki, H. Yuasa, and T. Arai, “Fault-Tolerance for Autonomous Decentralized Multi-Legged Robot System,” Intelligent Autonomous Systems Vol.7, pp. 325-332, 2002.
  14. [14] M. T. Khan and C. W. de Silva, “Autonomous Fault Tolerant Multi-Robot Cooperation Using Artificial Immune System,” in IEEE Int. Conf. on Automation and Logistics, pp. 623-628, 2008.
  15. [15] M. B. Dias, R. Zlot, N. Kalra, and A. Stentz, “Robust Multirobot Coordination in Dynamic Environments,” in IEEE Int. Conf. on Robotics and Automation, pp. 3435-3442, 2004.
  16. [16] B. M. Beamon, “Performance, Reliability, and Performability of Material Handling Systems,” Int. J. of Production Research, Vol.3, No.2, pp. 377-393, 1998.
  17. [17] T. Ganesharajah, N. G. Hall, and C. Sriskandarajah, “Design and Operational Issues in AGV-Served Manufacturing Systems,” Annals of Operations Research, Vol.76, No.1, pp. 109-154, 1998.
  18. [18] S. Hoshino, H. Seki, and Y. Naka, “Pipeless Batch Plant with Operating Robots for a Multiproduct Production System,” Distributed Autonomous Robotic Systems Vol.8, Springer, pp. 503-512, 2008.
  19. [19] S. Hoshino, H. Seki, Y. Naka, and J. Ota, “Integrated Operational Techniques for Efficient Robotic Batch Manufacturing Systems,” in IEEE Int. Symposium on Assembly and Manufacturing, pp. 137-142, 2009.
  20. [20] J. Wang, “On Sign-board Based Inter-robot Communication in Distributed Robotic Systems,” in IEEE Int. Conf. on Robotics and Automation, pp. 1045-1050, 1994.

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