Fast Path Planning Method for Agricultural Robot Automatic Guidance based on Cubic Spline Interpolation in Strip Farming

Jen-Ching Chien, Chung-Liang Chang, Chang-Chen Yu
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Abstract

In the autonomous navigation of agricultural robots in the field, the number of path nodes determines the smoothness of the robot's movement. However, the process of defining node positions is time-consuming and labor-intensive. In this study, a path planning method based on cubic spline interpolation is proposed to reduce the time of node position definition and configuration. At the same time, the use of this method can also maintain the stability of the steering control of agricultural robots, so that the robot can move smoothly. First, select several path nodes in the strip field as control points using cubic spline interpolation. Combines the complete path of a polyline segment by interpolating the path of the start point, control point, and landmark point between the straight path and the turn path. A small number of path node locations are defined by the global navigation satellite system with real-time kinematics (GNSS-RTK) system, and a robot dynamics system is used to actually simulate the feasibility of the proposed model in a strip field environment. The simulation results verify the effectiveness of the proposed algorithm. This method can reduce the number of path node position definitions and maintain the accuracy of the robot's route travel.
基于三次样条插值的条形农业机器人自动导航快速路径规划方法
在农业机器人的田间自主导航中,路径节点的数量决定了机器人运动的平滑度。但是,定义节点位置的过程既耗时又费力。本文提出了一种基于三次样条插值的路径规划方法,以减少节点位置定义和配置的时间。同时,使用这种方法还可以保持农业机器人转向控制的稳定性,使机器人能够平稳移动。首先,利用三次样条插值在条带域中选择若干路径节点作为控制点。通过插值直线路径和转弯路径之间的起点、控制点和地标点的路径,组合一条多线段的完整路径。利用实时运动学(GNSS-RTK)系统定义了少量路径节点位置,并利用机器人动力学系统在条带场环境中实际仿真了所提模型的可行性。仿真结果验证了该算法的有效性。该方法可以减少路径节点位置定义的数量,保持机器人路线行进的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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