Paper Info
Title
Game theory-based negotiation for multiple robots task allocation.
Abstract
This paper investigates task allocation for multiple robots by applying the game theory-based negotiation approach. Based on the initial task allocation using a contract net-based approach, a new method to select the negotiation robots and construct the negotiation set is proposed by employing the utility functions. A negotiation mechanism suitable for the decentralized task allocation is also presented. Then, a game theory-based negotiation strategy is proposed to achieve the Pareto-optimal solution for the task reallocation. Extensive simulation results are provided to show that the task allocation solutions after the negotiation are better than the initial contract net-based allocation. In addition, experimental results are further presented to show the effectiveness of the approach presented.
Year
DOI
Venue
2013
10.1017/S0263574713000192
ROBOTICA
Keywords
DocType
Volume
Task allocation,Game theory,Multiple robots,Negotiation,Cooperative control,Pareto-optimization
Journal
31
Issue
ISSN
Citations 
6
0263-5747
21
PageRank 
References 
Authors
0.79
18
3
Name
Order
Citations
PageRank
Rongxin Cui133014.59
Ji Guo2210.79
Bo Gao39310.10