[1]沈捷,费树岷,郑波.多移动机器人保持队形路径规划[J].东南大学学报(自然科学版),2005,35(3):391-395.[doi:10.3969/j.issn.1001-0505.2005.03.015]
　Shen Jie,Fei Shumin,Zheng Bo.Path planning of robot team in formation[J].Journal of Southeast University (Natural Science Edition),2005,35(3):391-395.[doi:10.3969/j.issn.1001-0505.2005.03.015]
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多移动机器人保持队形路径规划()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
35
期数:
2005年第3期
页码:
391-395
栏目:
自动化
出版日期:
2005-05-20

文章信息/Info

Title:
Path planning of robot team in formation
作者:
沈捷;  费树岷;  郑波
东南大学自动化研究所, 南京 210096
Author(s):
Shen Jie;  Fei Shumin;  Zheng Bo
Research Institute of Automation, Southeast University, Nanjing 210096, China
关键词:
多移动机器人;  保持队形;  队形模型;  运动控制;  路径规划
Keywords:
multiple mobile robots;  keep formation;  formation model;  movement control;  path planning
分类号:
TP24
DOI:
10.3969/j.issn.1001-0505.2005.03.015
摘要:
将多移动机器人的运动控制和路径规划有机结合,提出了多移动机器人的队形模型和保持队形的定义.在此基础上,以基于行为的导航算法为基础,将机器人队列的运动过程划分为正常运动、避障和恢复队形3个阶段.在避障阶段,引入虚拟机器人使队形保持部分完整; 当队形被严重打乱时,规划机器人的局部目标位姿使队列快速恢复队形.仿真实验表明,该控制方法不仅使多移动机器人安全避障,而且队形保持较完好.
Abstract:
Formation control and path planning of multiple mobile robots are combined in a reasonable way. Formation model and the concept of keeping formation are put forward. This path planning is based on behavior-based navigation algorithm, and the movement course of robot team is divided into normal movement phase, obstacle avoidance phase and formation recovery phase. In order to maintain formation, virtual robot is introduced into obstacle avoidance phase. If formation is destroyed severely, robots search local goal configurations according to path planning algorithm. By this control method, multiple mobile robots can avoid obstacles safely and keep in regular formation.

参考文献/References:

[1] Abe Y, Shikano M,Fukuda T,et al.Vision based navigation system by variable template matching for autonomous mobile robot[A].In:Proceedings of the IEEE International Conference on Robotics & Automation[C].Leuven,Belgium,1998.952-957.
[2] 席裕庚,张纯刚.一类不确定环境下机器人的滚动路径规划[J].自动化学报,2002,28(2):161-175.
　 Xi Yugeng,Zhang Chungang.Rolling path planning of mobile robot in a kind of dynamic uncertain environment[J]. Acta Automatica Sinica, 2002,28(2):161-175.(in Chinese)
[3] Brock O,Khatib O.High-speed navigation using the global dynamic window approach [A].In:Proceedings of the IEEE International Conference on Robotics & Automation[C].Detroit,1999.341-346.
[4] Balch T,Arkin R C.Behavior-based formation control for multirobot teams [J].IEEE Transactions on Robotics & Automation,1998,14(6):926-939.
[5] Desai J P,Ostrowski J,Kumar V.Controlling formations of multiple mobile robots [A].In:Proceedings of the IEEE International Conference on Robotics & Automation [C].Leuven,Belgium,1998.2864-2869.
[6] Fierro R,Das A K,Kumar V,et al.Hybrid control of formation of robots [A].In:Proceedings of the International Conference on Robotics & Automation [C].Seoul,South Korea,2001.157-162.
[7] 薄喜柱,洪炳熔.动态环境下多移动机器人路径规划的一种新方法[J].机器人,2001,23(5):407-410.
　 Bo Xizhu,Hong Bingrong.A method of collision avoidance planning for multi-robots in dynamic environment[J]. Robot, 2001,23(5):407-410.(in Chinese)
[8] Fujimura K.Route planning for mobile robots admits moving obstacles[A].In: Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems[C].Raleigh,1992.433-438.
[9] Fiorini Paolo,Shiller Zvi.Motion planning in dynamic environments using velocity obstacles[J]. International Journal of Robotics Research,1998,17(7):760-772.
[10] Reeds J A,Shepp R A.Optimal paths for a car that goes both forwards and backwards[J]. Pacific Journal of Mathematics,1990, 145(2):367-393.

备注/Memo

备注/Memo:
基金项目: 国家自然科学基金重点资助项目(69934010).
作者简介: 沈捷(1976—),男,博士生; 费树岷(联系人),男,博士,教授,博士生导师, infcon@seu.edu.cn.
更新日期/Last Update: 2005-05-20