Research on stereo vision path-planning algorithms for mobile robots autonomous navigation

Using stereo vision for autonomous mobile robot path-planning is a hot technology. The environment mapping and path-planning algorithms were introduced, and they were applied in the autonomous mobile robot experiment platform. Through experiments in the robot platform, the effectiveness of these algorithms was verified.     

基于遗传模拟退火算法的移动机器人静态路径规划

采用多边形法描述了机器人的工作环境模型,应用简化编码长度的技术简化了工作路径编码方式.对于基于遗传算法产生初始路径种群后的各路径的适应值进行评价.经过多次交叉、变异,并借助模拟退火中Metropolis算法的随机移动准则制定了高效的温度更新函数,获得了从起始点到目标点的一条全局最优路径.最后在Visual C++环境中通过仿真验证了此算法的可行性和高效性.     

Research on stereo vision path-planning algorithms for mobile robots autonomous navigation

Using stereo vision for autonomous mobile robot pathplanning is a hot technology. The environment mapping and pathplanning algorithms were introduced, and they were applied in the autonomous mobile robot experiment platform. Through experiments in the robot platform, the effectiveness of these algorithms was verified.     

Research on stereo vision path-planning algorithms for mobile robots autonomous navigation

Using stereo vision for autonomous mobile robot path-planning is a hot technology.The environment mapping and path-planning algorithms were introduced,and they were applied in the autonomous mobile robot experiment platform.Through experiments in the robot platform,the effectiveness of these algorithms was verified.     

一种通用的移动机器人路径规划仿真系统

提出了一种通用的路径规划仿真系统的设计方案，详细描述了系统的模型结构和运行方式，并介绍了系统的关键技术特点。仿真系统中算法设计独立，扩充性好，仿真功能和交互能力强大，具有并发检验能力，极大的方便了路径规划算法的研究工作，并能进一步用于多机器人的路径规划仿真研究。