A method of task allocation and automated negotiation for multi robots

Wende Ke; Zhiping Peng; Quande Yuan; Bingrong Hong; Ke Chen; Zesu Cai

doi:10.1007/s11767-012-0868-x

A method of task allocation and automated negotiation for multi robots

Wende Ke
, Zhiping Peng
, Quande Yuan^*
, Bingrong Hong
, Ke Chen
, Zesu Cai

^*Corresponding author for this work

Guangdong University of Petrochemical Technology
School of Computer Science and Technology, Harbin Institute of Technology
Changchun Institute of Technology

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

2 Scopus citations

Abstract

A method of task allocation and automated negotiation for multi robots was proposed. Firstly, the principles of task allocation were described based on the real capability of robot. Secondly, the model of automated negotiation was constructed, in which Least-Squares Support Vector Regression (LSSVR) was improved to estimate the opponent's negotiation utility and the robust controller of H^∞ output feedback was employed to optimize the utility performance indicators. Thirdly, the protocol of negotiation and reallocation was proposed to improve the real-time capability and task allocation. Finally, the validity of method was proved through experiments.

Original language	English
Pages (from-to)	541-549
Number of pages	9
Journal	Journal of Electronics
Volume	29
Issue number	6
DOIs	https://doi.org/10.1007/s11767-012-0868-x
State	Published - Nov 2012
Externally published	Yes

Keywords

Communication
Distributed
Negotiation
Robot
Task allocation

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10.1007/s11767-012-0868-x

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abstract = "A method of task allocation and automated negotiation for multi robots was proposed. Firstly, the principles of task allocation were described based on the real capability of robot. Secondly, the model of automated negotiation was constructed, in which Least-Squares Support Vector Regression (LSSVR) was improved to estimate the opponent's negotiation utility and the robust controller of H∞ output feedback was employed to optimize the utility performance indicators. Thirdly, the protocol of negotiation and reallocation was proposed to improve the real-time capability and task allocation. Finally, the validity of method was proved through experiments.",

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T1 - A method of task allocation and automated negotiation for multi robots

AU - Ke, Wende

AU - Peng, Zhiping

AU - Yuan, Quande

AU - Hong, Bingrong

AU - Chen, Ke

AU - Cai, Zesu

PY - 2012/11

Y1 - 2012/11

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AB - A method of task allocation and automated negotiation for multi robots was proposed. Firstly, the principles of task allocation were described based on the real capability of robot. Secondly, the model of automated negotiation was constructed, in which Least-Squares Support Vector Regression (LSSVR) was improved to estimate the opponent's negotiation utility and the robust controller of H∞ output feedback was employed to optimize the utility performance indicators. Thirdly, the protocol of negotiation and reallocation was proposed to improve the real-time capability and task allocation. Finally, the validity of method was proved through experiments.

KW - Communication

KW - Distributed

KW - Negotiation

KW - Robot

KW - Task allocation

UR - https://www.scopus.com/pages/publications/84868336472

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SN - 0217-9822

VL - 29

SP - 541

EP - 549

JO - Journal of Electronics

JF - Journal of Electronics

IS - 6

ER -

A method of task allocation and automated negotiation for multi robots

Abstract

Keywords

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