基于神经网络和遗传算法的机器人动态避障路径规划

被引:22
作者
陈华华
杜歆
顾伟康
机构
[1] 浙江大学信息与电子工程系
基金
浙江省自然科学基金;
关键词
神经网络; 遗传算法; 路径规划; 动态避障; 适应度函数;
D O I
暂无
中图分类号
TP242 [机器人];
学科分类号
1111 ;
摘要
文中提出了基于神经网络和遗传算法的动态环境下机器人动态避障路径规划方法 ,机器人工作空间动态环境信息的神经网络模型 ,并利用该模型建立机器人动态避障与神经网络输出的关系 ,然后将需规划路径的二维编码简化成一维编码 ,并把动态避障要求和最短路径要求融合成一个适应度函数。通过对算法进行实验仿真 ,结果表明提出的动态路径规划方法是正确和有效的。
引用
收藏
页码:551 / 555
页数:5
相关论文
共 8 条
  • [1] GeneticAlgorithminSearch,Optimization&MachineLearnlfig. GoldbergDE. . 1989
  • [2] An artificial neural network structure able to obstacle avoidance behavior used in mobile robots. Zarate L E,Becker M,Garrido B D M,Rocha H S C. In: IEEE 28th Annual Conference of the Industrial Electronics Society . 2002
  • [3] Genetic algorithm in robot path planning problem in crisp and fuzzified environments. Sadati N,Taheri J. In:IEEE International Conference on Industrial Technology . 2002
  • [4] Genetic algorithm based path planning and dynamic obstacle avoidance of mobile robots. Woonggie H,Seungmin B,Taeyong K. In: IEEE International Conference on Computational Cybernetics and Simulation . 1997
  • [5] A new path-planning algorithm for mobile robot based on neural network. Zhu Y J,Chang J,Wang S. In: IEEE Region tenth Conference on Computers, Communications,Control and Power Engineering . 2002
  • [6] Adaptive Navigation of Mobile Robots with Obstacle Avoidance. Fujimori A,Nikiforuk P N,Gupta M M. IEEE Transactions on Robotics and Automation . 1997
  • [7] A simple approach to robot navigation based on cooperative neural networks. Del H A R,Medrano M N,Martin D B B. In: IEEE 28th Annual Conference of the Industrial Electronics Society . 2002
  • [8] A neural network approach to complete coverage path planning. Yang S X,Luo C. IEEE Transactions on Systems Man and Cybernetics . 2004