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JRM Vol.26 No.3 pp. 369-376
doi: 10.20965/jrm.2014.p0369
(2014)

Paper:

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A Discrete Adaptive Auction-Based Algorithm for Task Assignments of Multi-Robot Systems

Xuefeng Dai*, Zhifeng Yao**, and Yan Zhao***

*Center of Networks and Information, Qiqihar University

**School of Computer and Control Engineering, Qiqihar University

***School of Communication and Electronic Engineering, Qiqihar University, Wenhua Str.42, Qiqihar, Heilongjiang 161006, China

Received:
January 15, 2014
Accepted:
May 9, 2014
Published:
June 20, 2014
Creative Commons License
Keywords:
multi-robot systems (MRSs), discrete adaptive auction-based algorithms, market economy, task assignments
Abstract

Teammates trajectories
For reasons of production cost and differences in manufacturing dates for mobile robots, individual robots on a robot team have different processing, movement, and detection abilities. To maximize the potential ability of individual robots and minimize overall exploration time in unknown environments, this paper proposes a novel discrete adaptive auction-based algorithm for coordinating multirobot systems (MRSs). A utility calculation scheme that takes into account the dispersion of teammates is presented, followed by an identical performance index formula that converges to a value for measuring differences in exploration efficiency. The performance measure is taken into account in calculating bids for exploration tasks. We compared our results to other exploration strategies by simulation and results show improved exploration time.
Cite this article as:
X. Dai, Z. Yao, and Y. Zhao, “A Discrete Adaptive Auction-Based Algorithm for Task Assignments of Multi-Robot Systems,” J. Robot. Mechatron., Vol.26 No.3, pp. 369-376, 2014.
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