Task Distribution Model Based on Robot Capacity in Multi-Robot System

Abstract:

The capacity of individual robots is divided into three types, which is described by using the state space and transfer process. Several comparative experiments are used to analysis the effects of different parameters on the individual ability. The capacity assessment for robot is obtained based on the difference analysis. Finally the method of task distribution is given based on the capacity list and the sub-tasks discussed before, which enhance the efficiency of the distribution by guaranteeing that the sub-task with the higher level is given to the robot with the better capacity.

• Periodical: Applied Mechanics and Materials (Volumes 494-495)
• Pages: 1182-1188
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.494-495.1182
• Online since: February 2014
• Authors: Zhi Guo Shi*, Qiao Zhang, Jun Tu, Jun Ming Wei
• Keywords: Individual Difference, Multi-Robot System, Task Distribution

References

[1] Arai T, Pagello E, Parker L, Advances in Multi-Robot Systems. IEEE Transactions on Robotics and Automation, Vol. 18(5), 2002, pp.655-661.

DOI: 10.1109/tra.2002.806024

[2] Kui Y, Yuan L, Li-Xin F, Multiple Mobile Robot Systems: A Survey of Recent Work. Acta Automatica Sinica, Vol. 33(8), 2007, pp.785-795.

[3] Min T, Shuo W, Zhiqiang C, Multi-robot system. Tsinghua University Press, (2005).

[4] Brooks R. A, Intelligence without reputation. Artificial Intelligence, Vol. 47, 1991, pp.139-160.

[5] Brooks R. A, Intelligence without reason, Proceedings of the 12th International Joint Conference on Artificial Intelligence, 1991, pp.569-595.

[6] Parker L. E, An experiment in mobile robotic cooperation. In goal-driven Proceedings of the ASCE Specialty Conference on Robotics for Challenging Environments, 1994, pp.131-139.

[7] Parker L. E, Heterogeneous Multi-robot Cooperation, PhD theory, MIT. (1994).

[8] L. E Parker, ALLIANCE: An Architecture for Fault Tolerant, Cooperative Control of Heterogeneous Mobile Robots. Proceedings of the 1994 IEEE/RSJ/GI International Conference on Intelligent Robots and System, 1994, pp.776-783.

DOI: 10.1109/iros.1994.407550

[9] Smith R, The Contract Net Protocol: High Level Communication and Control in a Distributed Problem Solver, IEEE Transactions on Computers, Vol. 6, 1980, pp.1104-1113.

DOI: 10.1109/tc.1980.1675516

[10] Parker L, L-Alliance, Task-oriented Multi-robot Learning in Behavior Based Systems. Advanced Robotics, vol. 11(4), 1997, pp.305-322.

DOI: 10.1163/156855397x00344

[11] Parker L, Alliance, An Architecture for Fault Tolerant Multi-robot Collaboration, IEEE Transactions on Robotics and Automation, Vol. 14(2), 1998, pp.220-240.

DOI: 10.1109/70.681242

[12] Brian P G, J M Maja, Auction methods for multi-robot coordination. IEEE Transactions on Robotics and Automation, Vol. 18, 2002, pp.758-768.

DOI: 10.1109/tra.2002.803462

[13] Gerkey B P, Mataric M J, Auction methods formulation robot coordination, IEEE Transactions on Robotics and Automation, Vol. 18(5), 2002, pp.758-768.

DOI: 10.1109/tra.2002.803462

[14] Teng S D, Research on artificial psychology model applied in personal robot. Dissertation for the Doctoral Degree. University of Sicence and Technology, Bijing (2006).