[1]Acar E U, Choset H, Zhang Y G. Path planning for robotic demining: Robust sensor-based coverage of unstructured environments and probabilistic methods[J]. International Journal of Robotics Research, 2003, 22(7): 441-466.
[2]Zuo L C, Huang Y Y, Hall E L. Region filling operations with random obstacle avoidance for mobile robots[J]. Journal of Robotic Systems, 1988, 5(2): 87-102.
[3]Oksanen T, Visala A. Coverage path planning algorithms for agricultural field machines[J]. Journal of Field Robotics, 2009, 26(8): 651-668.
[4]Farsi M, Ratcliff K, Johnson P J, et al. Robot control system for window cleaning[C]//American Control Conference. Piscataway, USA: IEEE, 1994: 994-995.
[5]Jin X, Ray A. Navigation of autonomous vehicles for oil spill cleaning in dynamic and uncertain environments[J]. International Journal of Control, 2014, 87(4): 787-801.
[6]张洪峰, 王硕, 谭民,等. 基于动态分区方法的多机器人协作地图构建[J]. 机器人, 2003, 25(2): 156-162.
Zhang Hongfeng, Wang Suo, Tan Min, et al. A dynamic region decomposition approach to cooperative multi-robot map-building[J]. Robot, 2003, 25(2): 156-162.
[7]薛颂东, 曾建潮. 群机器人研究综述[J]. 模式识别与人工智能, 2008, 21(2): 177-185.
Xue Songdong, Zeng Jianchao. Swarm robotics:a survey[J]. Pattern Recognition and Artificial Intelligence, 2008, 21(2): 177-185.
[8]Brambilla M, Ferrante E, Birattari M, et al. Swarm robotics: a review from the swarm engineering perspective[J]. Swarm Intelligence, 2013, 7(1): 1-41.
[9]Cheng K, Adviser-Dasgupta P R. Multi-Robot Coalition Formation for Distributed Area Coverage[M]. Omaha: University of Nebraska, 2011.
[10] 李慧勇. 群机器人启发式区域覆盖算法及围捕策略研究[D]. 太原:太原科技大学, 2011.
Li H Y. Research on Heuristic region covering algorithm and rounding up strategy of swarm robot [D]. Taiyuan: Taiyuan University of Science & Technology, 2011.
[11] Jeon H S. An efficient area maximizing coverage algorithm for intelligent robots with deadline situations[J]. International Journal of Control and Automation, 2013, 6(3): 49-56.
[12] Ranjbar-Sahraei B. Weiss G, Nakisaee A. A multi-robot coverage approach based on stigmergic communication[C]//Procecdings of 10th German Conference on Multi-agent System Technologies. Berlin: Springer, 2012: 126-138.
[13] Wagner I A, Lindenbaum M, Bruckstein A M. Distributed covering by ant—robots using evaporating traces[J]. IEEE Trans on Robotics and Automation, 1999, 15(5): 918-933.
[14] 李冠男,董凌艳,徐红丽,等. 群机器人区域覆盖方法研究[J]. 机器人, 2017, 39(5): 670-679.
Li Guan′nan, Dong Lingyan, Xu Hongli, et al. Research on region coverage approach with swarm robots[J]. Robot, 2017, 39(5): 670-679.
[15] 张国有, 曾建潮. 基于黄蜂群算法的群机器人全区域覆盖研究[J]. 模式识别与人工智能, 2011, 24(3): 431-437.
Zhang Guoyou, Zeng Jianchao. Area Coverage algorithmin swarm robotics based on wasp swarm algorithm[J]. Pattern Recognition and Artificial Intelligence, 2011, 24(3): 431-437.
[16] Waibel M, Floreano D, Magnenat S, et al. Division of labour and colony efficiency in social insects: effects of interactions between genetic architecture, colony kin structure and rate of perturbations [J]. Proceedings of the Royal Society of London B: Biological Sciences, 2006, 273(1595): 1815-1823.
[17] 肖人彬. 面向复杂系统的群集智能[M]. 北京: 科学出版社, 2013.
[18] Bourgault F, Makarenko A A, Williams S B, et al. Information based adaptive robotic exploration[C]//2002 IEEE/RSJ International Conference on Intelligent Robots and Systems. Lausanne, Switzerland: IEEE, 2002: 540-545.
[19] Tomatis N, Nourbakhsh I, Siegwart R. Simultaneous localization and map building: A global topological model with local metricmaps[C]//Proceedings of the 2001 IEEE/RSJ International Con-ference on Intelligent Robots and Systems. Piscataway, NJ, USA: IEEE, 2001: 421-426.
[20] Fabrizi E, Saffiotti A. Augmenting topology-based maps with geo-metric information[J]. Robotics and Autonomous Systems, 2002, 40(2-3): 91-97.
[21] 李昊, 叶文华, 满增光. 特征地图中基于高斯核函数的自动导引车Markov定位算法[J]. 计算机集成制造系统, 2018, 24(5): 1081-1088.
Li H, Ye W H, Man Z G. Markov localization algorithm for AGV based on Gaussian kernel function in feature map[J]. Computer Integrated Manufacturing Systems, 2018, 24(5): 1081-1088.
[22] 赵晓, 王铮, 黄程侃等. 基于改进A*算法的移动机器人路径规划[J]. 机器人, 2018, 40(6): 903-910.
Zhao Xiao, Wang Zheng, Huang Chengkan, et al. Mobile robot path planning based on an Improved A* algorithm [J]. Robot, 2018, 40(6): 903-910.
[23] 曹翔, 孙长银. 栅格地图中多机器人协作搜索目标[J]. 控制理论与应用, 2018, 35(3): 273-282.
Cao X, Sun C Y. Cooperative target search of multi-robot in grid map [J]. Control Theory & Applications, 2018, 35(3): 273-282.
[24] Lattorff H M G, Moritz R F A. Genetic underpinnings of division of labor in the honeybee (Apis mellifera)[J]. Trends in Genetics, 2013, 29(11): 641-648.
[25] Naug D, Gadagkar R. Flexible labor division mediated by social interactions in an insect colony—a simulation model[J]. Journal of Theoretical Biology, 1999, 197(1): 123-133.
[26] Huang Z Y, Robinson G E, Borst D W. Physiological correlates of division of labor among similarly aged honey bees[J]. J Comp Physiol, A, 1994, 174(6): 731-739.
[27] Beshers S, Huang Z, Oono Y, et al. Social inhibition and the regulation of temporal polyethism in honey bees[J]. Journal of Theoretical Biology, 2001, 213(3): 461-479.
[28] 肖人彬, 王英聪. 一种面向时间分配问题的群智能劳动分工新方法[J]. 智能系统学报, 2019, 14(3): 438-448.
Xiao Renbin, Wang Yingcong. A new approach to labor division in swarm intelligence for time allocation problem[J]. CAAI Transactions on Intelligent Systems, 2019, 14(3): 438-448.
[29] Bonabeau E, Theraulaz G, Deneubourg J L. Fixed response thresholds and the regulation of division of labor in insect societies[J]. Bulletin of Mathematical Biology, 1998, 60(4): 753-807.
[30] Fernando D S, Ana L C B. Towards efficient multiagent task allocation in the RoboCup rescue: a biologically-inspired approach[J]. Autonomous Agents and Multi-Agent Systems, 2011, 22(3): 465-486.
