室内移动机器人路径规划研究

路径规划是自主移动机器人的研究重点。针对传统的A*算法搜索出的路径存在途径危险区域,未考虑机器人外形尺寸、路径不平滑等问题,提出了一种改进A*算法的路径规划方法。在新的栅格化环境地图中,通过改进的搜索策略进行路径搜索;并对路径点删减和优化,通过分段多项式曲线平滑路径。实验仿真结果表明,新方法生成的路径满足移动机器人的动力学和运动学特性,且更符合室内移动机器人的轨迹跟踪和运动控制,该方法简单有效。

Research on Path Planning of Indoor Mobile Robots

Path planning is a fundamental issue to autonomous mobile robot. An improved A* algorithm for path planning for indoor mobile robot is proposed in this paper. In the process of searching the path, there are some problems for the traditional A* algorithm, such as that the path goes through the dangerous area, the overall dimensions of mobile robot is not taken into consideration, or the searching path is not so smooth. In this paper, a new solution for the problems is proposed. This method searches path in new grid environments using improved strategy, then it reduces path points and optimizes them. At last, it uses piecewise polynomial curve smoothing paths. Therefore, the generated path is satisfied with the dynamics and kinematics characteristics of the mobile robot, and is more suitable for trajectory tracking and motion control for indoor mobile robot. The experimental results show that this method has good feasibility and effectiveness.