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基于蚁群算法的移动机器人智能路径规划应用 被引量:3

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摘要 随着机器人在各领域的广泛应用和人工智能的不断发展,路径规划研究作为机器人应用领域的重要课题受到越来越多的关注。文章分析了机器人发展现状以及路径规划算法,重点阐述了智能路径规划与传统路径规划的优缺点,利用蚁群算法对移动机器人路径规划中实际应用问题进行了研究,并提供一些实际解决方案。
作者 徐思
出处 《信息通信》 2015年第10期30-31,共2页 Information & Communications
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  • 1朱庆保,张玉兰.基于栅格法的机器人路径规划蚁群算法[J].机器人,2005,27(2):132-136. 被引量:123
  • 2Colorni A, Dorigo M, Maniezzo V. Distributed optimization by ant colonies [A]. Proceeding of European Conference of Artificial Life ECAL91 [C]. F. Varela and P. Bourgine (Eds), Paris, France: Elsevier Publishing. 1991, 134--144.
  • 3Dorigo M , Maniezzo V, Colorni A. The ant system: optimization by a colony of cooperating agents [J]. IEEE Trans on Systems, Man, and Cybernetics--part B, 1996, 26 (1): 29-41.
  • 4Moravec H, Elfes A. High resolution maps from wide angle sonar [A]. Proc of IEEE International Conference on Robotics and Automation [C]. New Jersey: IEEE Press, 1985: 116--121.
  • 5Wang Chun-Miao, Soh Y.C., Wang Han, Wang Hui. A hierarchical genetic algorithm for path planning in a static environment with obstacles. In: Proceedings of the IEEE CCECE 2002, 2002, 3: 1652~1657
  • 6D'Amico A., Ippoliti G., Longhi S.A.. Radial basis function networks approach for the tracking problem of mobile robots. In: Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2001, 1: 498~503
  • 7Weerayuth N., Chaiyaratana N.. Closed-loop time-optimal path planning using a multi-objective diversity control oriented genetic algorithm. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2002, 6: 7
  • 8Bruce J., Veloso M.. Real-time randomized path planning for robot navigation. In: Proceedings fo the IEEE/RSJ International Conference on Intelligent Robots and System, 2002, 3: 2383~2388
  • 9Colomi A, Dorigo M, Maniezzo V. Distributed Optimization by Ant Colonies. Proceedings of ECAL91 European Conference of Artificial Life, Paris, France, 1991, Elsevier Publishing, 1991:134-144
  • 10Dortigo M, Gambardella L M. Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Trans.Evolutionary Computation, 1997, 1(1):53-66

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