期刊文献+

基于改进人工协调场的多机器人运动编队 被引量:3

Multi-Robot Formation Based on Artificial Coordinating Field
下载PDF
导出
摘要 针对多移动机器人编队形式单一、使用传统人工势场法易陷入局部极小的问题,提出改进人工协调场法。该方法不仅可在不同时间内随机器人数量不同而不断变换队形,达到运动编队的效果,而且适合追踪动态目标点,使机器人的避障能力更加灵活。通过仿真实验验证了上述方法的有效性。 In rezpanse to the single formation control of mobile robots and the problem of local minimum, this paper provides an improvement of artificial coordinating field, during which the formation varies from time to time and the amounts of robots, achieving the traveling formation and the traveling target point is suitable to be chased, making robots' ability of avoiding obstacles more flexible. And the method is verified through simulation experiment.
出处 《吉林大学学报(信息科学版)》 CAS 2010年第2期153-157,共5页 Journal of Jilin University(Information Science Edition)
基金 国家自然科学基金资助项目(60573067)
关键词 人工协调场 运动编队 动态目标点 artificial coordinating field formation movement dynamic target
  • 相关文献

参考文献10

二级参考文献53

共引文献47

同被引文献32

  • 1王芳,万磊,徐玉如,张玉奎.基于改进人工势场的水下机器人路径规划[J].华中科技大学学报(自然科学版),2011,39(S2):184-187. 被引量:15
  • 2景兴建,王越超,谈大龙.人工协调场及其在动态不确定环境下机器人运动规划中的应用[J].中国科学(E辑),2004,34(9):1021-1036. 被引量:11
  • 3景兴建,王越超,谈大龙.基于人工协调场的多移动机器人实时协调避碰规划[J].控制理论与应用,2004,21(5):757-764. 被引量:12
  • 4陈立彬,尤波.基于改进人工势场法的机器人动态追踪与避障[J].自动化技术与应用,2007,26(4):8-10. 被引量:15
  • 5KIM D I-I, WANG H O, YE G H, et al. Decentralized control of autonomous swarm systems nsing artificial potential functions: ana- lyrical design guidelines [ C]//CDC 2004: Proceedings of the 4Brd 1EEE Conference on Decision and Control. Washington, DC: IEEE Computer Society, 2004:159 - 164.
  • 6URAKUBO T, OKUMA K, TADA Y. Feedback control of a two wheeled mobile robot with obstacle avoidance using potential func- tions [ C]//Proceedings of the 2004 IEEE International Conference on Intelligent Robots and Systems. Piscataway: IEEE Press, 2004: 2428 - 2433.
  • 7BENNET D J, MclNNES C R. Distributed control of muhi-robot systems using bifurcating potential fields [ J]. Robotics and Autono- mous Systems, 2010, 58(3): 256-264.
  • 8JARADAT M, GARIBEH M H, FEILAT E A. Dynamic motion planning for autonomous mohile robot using fuzzy potential field [ C]//Proceedings of the 6th International Symposium on Mecha- tronics and Its Applications. Piscataway: IEEE Press, 2009:1 - 6.
  • 9JARADAT M, GARIBEH M H, FEILAT E A. Autonomous mobile robot dynamic motion planning using hybrid fuzzy potential field [J]. Soft Computing, 2011, 16(1): 153-164.
  • 10WANG G W, FUJIWARA N, BAO Y. Feed-Forward Multilayer Neural Network Model for Vehicle Lateral Guidance Control [J]. Advanced Robotics, 1997, 12(7/8):735-753.

引证文献3

二级引证文献22

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部