基于轮式机器人的路径规划避障算法

Lin Yao, Xu Yuanyuan, Xu Shaoyu, L. Yurong, Jiang Hongyu
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引用次数: 2

摘要

室内环境中有许多障碍物和运动。室内机器人需要适应不断变化的环境。研究了轮式机器人在未知环境下的避障问题。首先,研究了机器人自主避障的动态路径规划算法,并用c#语言实现了该算法。然后使用Unity3D游戏引擎对算法进行仿真。该算法的创新点如下:矢量化机器人的路径;2. 将障碍物和机器人的运动状态归纳为六种情况。在运动过程中,连续判断障碍物的运动状态,分析障碍物的速度和方向。判断结果必须属于六种情况。实验证明,该算法能够解决遇到不同速度和大小障碍物时的避障问题,具有较强的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path Planning Obstacle Avoidance Algorithm Based on Wheeled Robot
There are many obstacles and movements in the indoor environment. Indoor robots need to cope with the changing environment. This paper studies the obstacle avoidance problem of wheeled robots moving in an unknown environment. Firstly, the dynamic path planning algorithm for robot autonomous obstacle avoidance is studied, and the algorithm is implemented in C# language. Then use the Unity3D game engine to simulate the algorithm. The innovations of this algorithm are as follows: 1. Vectorize the path of the robot; 2. Summarize the motion state of the obstacle and the robot into six cases. During the movement process, the obstacle movement state is continuously judged, and the speed and direction of the obstacle are analyzed. The judgment result must belong to six situations. The experiment proves that the algorithm can solve the obstacle avoidance problem when encountering obstacles of different speeds and sizes, and has stronger applicability.
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