DocumentCode
2560698
Title
Notice of Violation of IEEE Publication Principles
Large-scale multi-robot task allocation based on Ant Colony Algorithm
Author
Yu Zhang ; Shuhua Liu ; Jie Liu ; Chenmu Yu
Author_Institution
Sch. of Comput. Sci., Northeast Normal Univ., Changchun
fYear
2008
fDate
2-4 July 2008
Firstpage
2141
Lastpage
2146
Abstract
Notice of Violation of IEEE Publication Principles
"Large-scale Multi-robot Task Allocation Based on Ant Colony Algorithm"
by Yu Zhang, Shuhua Liu, Jie Liu, Chenmu Yu
in the Proceedings of the Chinese Control and Decision Conference, July 2008
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
"Multi-Robot Coalition Formation"
by Lovekesh Vig and Julie A. Adams,
in IEEE Transactions on Robotics, Vol 22, No 4, pp. 637-649, August 2006
This paper discusses robot coalition formation in the large-scale multi-robots system including loosely and tightly-coupled tasks. A task allocation mechanism based on Ant Colony Algorithm is proposed. This method adopts hierarchical architecture. In the high level, we employ Ant Colony Algorithm to find optimal allocations. Namely, each ant forms a task allocation so as to choose an undertaker for every task. In the low level, each ant forms a task-oriented robot coalition to perform a tightly-coupled task. Simulation results show that the task allocation mechanism is feasible and valid.
"Large-scale Multi-robot Task Allocation Based on Ant Colony Algorithm"
by Yu Zhang, Shuhua Liu, Jie Liu, Chenmu Yu
in the Proceedings of the Chinese Control and Decision Conference, July 2008
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
"Multi-Robot Coalition Formation"
by Lovekesh Vig and Julie A. Adams,
in IEEE Transactions on Robotics, Vol 22, No 4, pp. 637-649, August 2006
This paper discusses robot coalition formation in the large-scale multi-robots system including loosely and tightly-coupled tasks. A task allocation mechanism based on Ant Colony Algorithm is proposed. This method adopts hierarchical architecture. In the high level, we employ Ant Colony Algorithm to find optimal allocations. Namely, each ant forms a task allocation so as to choose an undertaker for every task. In the low level, each ant forms a task-oriented robot coalition to perform a tightly-coupled task. Simulation results show that the task allocation mechanism is feasible and valid.
Keywords
mobile robots; multi-robot systems; optimisation; ant colony algorithm; large-scale multirobot task allocation; robot coalition formation; Costs; IEEE publications; Large-scale systems; Optimal control; Permission; Robots; Ant Colony Algorithm; Large-scale robots; Robot Coalition Formation; Task Allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597703
Filename
4597703
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