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Multi-robot task allocation using CNP combines with neural network

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Abstract

Contract Net Protocol is a suitable method for multi-robot task allocation problems. However, it is difficult to find a function to evaluate robots’ bids when each robot gives more than one bid price to reflect its different abilities. We propose a method to fuse these prices and to decide which robot is the successful bidder using a BP neural network. The experiment result shows that the method is effective.

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Acknowledgments

This work is supported by National Natural Science Foundation of China grant NO. 60974055, 61075077 and 61075076, Department of Education of Jilin Province of China grant NO.2011242.

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Correspondence to Quande Yuan.

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Yuan, Q., Guan, Y., Hong, B. et al. Multi-robot task allocation using CNP combines with neural network. Neural Comput & Applic 23, 1909–1914 (2013). https://doi.org/10.1007/s00521-012-1193-x

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