Multi-robot task allocation using CNP combines with neural network

Quande Yuan; Yi Guan; Bingrong Hong; Xiangping Meng

doi:10.1007/s00521-012-1193-x

Multi-robot task allocation using CNP combines with neural network

Quande Yuan^*
, Yi Guan
, Bingrong Hong
, Xiangping Meng

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Changchun Institute of Technology

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

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.

Original language	English
Pages (from-to)	1909-1914
Number of pages	6
Journal	Neural Computing and Applications
Volume	23
Issue number	7-8
DOIs	https://doi.org/10.1007/s00521-012-1193-x
State	Published - Dec 2013
Externally published	Yes

Keywords

BP neural network
CNP
Multi-robot
Task allocation

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10.1007/s00521-012-1193-x

Cite this

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title = "Multi-robot task allocation using CNP combines with neural network",

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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AU - Yuan, Quande

AU - Guan, Yi

AU - Hong, Bingrong

AU - Meng, Xiangping

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Y1 - 2013/12

N2 - 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.

AB - 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.

KW - BP neural network

KW - CNP

KW - Multi-robot

KW - Task allocation

UR - https://www.scopus.com/pages/publications/84887484197

U2 - 10.1007/s00521-012-1193-x

DO - 10.1007/s00521-012-1193-x

M3 - 文章

AN - SCOPUS:84887484197

SN - 0941-0643

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SP - 1909

EP - 1914

JO - Neural Computing and Applications

JF - Neural Computing and Applications

IS - 7-8

ER -

Multi-robot task allocation using CNP combines with neural network

Abstract

Keywords

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