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An Autonomous Task Allocation Method Of The Multi-Robot System

Yingying Ding, Miaoliang Zhu, Yan He

Year
2006
Citations
6

Abstract

To enable the multi-robot system allocating tasks automatically is very important in improving the adaptation of the system. In this paper, a task allocation method based on personality is designed and a persistent factor, as one aspect of personality of the robot is introduced; the pheromone follow phenomenon of the ant algorithm is used to realize cooperation. Box pushing problem is used to test the performance of the algorithm. A phenomenon called task deadlock is defined and discussed in the paper. The persistent factor is used to solve the task deadlock problem

Keywords

Computer scienceTask (project management)RobotDeadlockAdaptation (eye)Factor (programming language)Ant colonyArtificial intelligenceDistributed computingAnt colony optimization algorithms

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