[1]YUAN Mingxin,YE Zhaoli,CHENG Shuai,et al.Multi-robot cooperative handling based on immune network algorithm regulated by interferon[J].CAAI Transactions on Intelligent Systems,2014,9(1):76-82.[doi:10.3969/j.issn.1673-4785.201303006]
Copy

Multi-robot cooperative handling based on immune network algorithm regulated by interferon

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 1 Page number: 76-82 Column: 学术论文—智能系统 Public date: 2014-02-25
Title:
Multi-robot cooperative handling based on immune network algorithm regulated by interferon
Author(s):
YUAN Mingxin;  YE Zhaoli;  CHENG Shuai;  SHEN Yi
School of Mechatronics and Automotive Engineering, Jiangsu University of Science and Technology, Zhangjiagang 215600, China
Keywords:
cooperative handling; multi-robot systems; immune network algorithm; interferon; affinity
CLC:
TP242
DOI:
10.3969/j.issn.1673-4785.201303006
Abstract:
In order to further improve the executing efficiency of multi-robot systems during cooperative handling, a new interferon regulation-based immune network algorithm is put forward. The affinities between the antibody and antigen as well as the antibodies are defined firstly by taking the boxes and robots as the antigen and antibody, respectively; secondly, the interferon adjustment factor according to the interferon mechanism is defined; thirdly, the new multi-robot task allocation model is established based on Jerne’s idiotypic network hypothesis. Compared with the correlative immune allocation algorithms, the test results from multiple environments indicate that the proposed algorithm not only markedly shortens the handling path and reduces energy loss, but also reduces the amount of robots in cooperation, which shows the rationality of the tasking allocation and the stronger planning ability of the proposed allocation model.
References:
[1] 董炀斌,蒋静坪,何衍.基于适应度的多机器人任务分配策略[J].浙江大学学报:工学版, 2007, 41(2): 272-277.DONG Yangbin, JIANG Jingping, HE Yan. Fitness-based task allocation strategy for multi robot system[J]. Journal of Zhejiang University:Engineering Science, 2007, 41(2): 272-277.
[2] DAHL T S, MATARIC M, SUKHATME G S. Multi-robot task allocation through vacancy chain scheduling[J]. Robotics and Autonomous Systems, 2009, 57(6): 674-687.
[3] BRADFORD H, MAURICE P. Sequential single-cluster auctions for robot task allocation[J]. Advances in Artificial Intelligence, 2011, 7106: 412-421.
[4] ELLIPS M, DAVOUD S. Multi-objective robot motion planning using a particle swarm optimization model[J]. Journal of Zhejiang University: Science, 2010, 11(8): 607-619.
[5] ZHANG D, XIE G, YU J, et al. Adaptive task assignment for multiple mobile robots via swarm intelligence approach[J]. Robotics and Autonomous Systems, 2007, 55(7): 572-588.
[6] 高云园,韦巍.未知环境中基于免疫网络的多机器人自主协作[J].浙江大学学报:工学版, 2006, 40(5): 733-737.GAO Yunyuan, WEI Wei. Multi-robot self-determination cooperation based on immune network in an unknown environment[J]. Journal of Zhejiang University: Engineering Science, 2006, 40(5): 733-737.
[7] GAO Yunyuan, WEI Wei. Multi-robot autonomous cooperation integrated with immune based dynamic task allocation[C]//Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications. Ji’nan, China, 2006: 586-591.
[8] 吴皓,田国会,黄彬.未知环境探测的多机器人协作策略研究[J].山东大学学报:工学版, 2008, 38(4): 27-31.WU Hao, TIAN Guohui, HUANG Bin. Research on the collaboration strategy of multi robot for exploring unknown environment[J]. Journal of Shandong University: Engineering Science, 2008, 38(4): 27-31.
[9] YUAN Mingxin, WANG Sunan, WU Canyang. Hybrid ant colony and immune network algorithm based on improved APF for optimal motion planning[J]. Robotica, 2010, 28(6): 833-846.
[10] FARMER J, PACKARD N, PERELSON A. The immune system, adaptation, and machine learning[J]. Physica D, 1986, 2(3): 187-204.
[11] ISHIGURO A, WATANABE Y, KONDO T, et al. A robot with a decentralized consensus-making mechanism based on the immune system[C]//Proceedings of the International Symposium on Autonomous Decentralized Systems. Berlin, Germany, 1997: 231-237.
[12] YUAN Mingxin, WANG Sunan, WU Canyang, et al. A novel immune network strategy for robot path planning in complicated environments[J]. Journal of Intelligent and Robotic Systems, 2010, 60(1): 111-131.
[13] 刘颖,侯利华,陈薇.干扰素的信号传导和抗病毒效应机制[J].生物技术通讯, 2012, 23(1): 123-126.LIU Ying, HOU Lihua, CHEN Wei. Signal transduction and mechanisms of antiviral effect of interferon[J]. Letters in Biotechnology, 2012, 23(1): 123-126.
[14] LI Guanghui, TAMURA Y, ASAMA H. Dynamical task allocation and reallocation based on body expansion behavior for multi-robot coordination[C]//Proceedings of 2011 International Conference on Mechatronics and Automation. Beijing, China, 2011: 537-542.
Similar References:

Memo

-

Last Update: 1900-01-01

Copyright © CAAI Transactions on Intelligent Systems