基于路标点追踪的差速驱动机器人运动规划
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1.安徽理工大学;2.徽理工大学电气与信息工程学院

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TP391

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Motion Planning of Differential Driven Robot Based on Tracking Waypoints
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安徽理工大学

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    摘要:

    针对三角网格路径规划方法,采用D-P算法提取路标点时,其最大阈值不好确定等问题,本文提出基于碰撞检测的抽取路标点方法。同时采用Pure Pursuit算法跟踪路标点,对差速驱动机器人进行运动规划。通过实验对比分析表明:在提取路标点时,与D-P算法相比,碰撞检测方法更加优越。最后,通过差速驱动机器人的运动规划实验表明:Pure Pursuit算法追踪路标点方法规划的运动轨迹是一条光滑曲线,能够有效避开地图上的障碍物。机器人角速度,线速度均是光滑函数,变化平缓,在路标点附近出现较小波动,波动范围均在允许值内。运动规划时间为0.049s,完全能够满足实际需求。研究结果表明基于路标点追踪的移动机器人运动规划是一种简单有效的运动规划方法。

    Abstract:

    When using the triangular mesh method in path planning, aiming at the problem that the maximum threshold of the D-P algorithm for extracting waypoints is not easy to determine, this paper proposes a new method for extracting waypoints based on collision detection. The pure pursuit algorithm is used to track the way points and plan the motion of the differential driven robot. The experimental results show that the collision detection method is better than D-P algorithm in extracting waypoints. Finally, the motion planning experiment of differential driven robot shows that the motion trajectory planned by pure pursuit algorithm tracking waypoints is a smooth curve, which can effectively avoid obstacles on the map. The angular velocity and linear velocity of the robot are smooth functions with gentle changes. There are small fluctuations near the waypoints, and the fluctuation range is within the allowable value. The motion planning time is 0.049s, which can fully meet the actual needs. The results show that the motion planning of mobile robot based on road marking tracking is a simple and effective motion planning method.

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历史
  • 收稿日期:2021-11-21
  • 最后修改日期:2022-04-25
  • 录用日期:2022-04-27
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