计算机工程与设计2024,Vol.45Issue(2) :578-586.DOI:10.16208/j.issn1000-7024.2024.02.033

基于人工势场引力因子的机械臂避障规划算法

Obstacle avoidance planning algorithm of robot arm based on attraction factor of artificial potential field

苗田恬 方厚招 安康 孙延博 方祖华 管西强
计算机工程与设计2024,Vol.45Issue(2) :578-586.DOI:10.16208/j.issn1000-7024.2024.02.033

基于人工势场引力因子的机械臂避障规划算法

Obstacle avoidance planning algorithm of robot arm based on attraction factor of artificial potential field

苗田恬 1方厚招 2安康 1孙延博 2方祖华 1管西强1
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作者信息

  • 1. 上海师范大学信息与机电工程学院,上海 201418
  • 2. 中国航天科技集团有限公司上海航天技术研究院上海卫星工程研究所,上海 201108
  • 折叠

摘要

针对机械臂的安全避障问题,提出一种基于人工势场引力因子的机械臂最短避障路径规划模型.研究算法中各个参数对机械臂末端运动路径的影响;构建引力因子,提出一种基于引力因子的最短避障路径规划模型,利用梯度下降法求解机械臂末端的最短避障路径及其最优解;研究分析不同障碍物大小和位置的最短路径特征,以工业SCARA机器人的平面模型分析关节角度路径特征.实验结果表明,模型参数决定避障路径的弧度变化.所提算法能够适应障碍物位置和大小的变化,使机械臂末端以最短路径避障的同时,其运动轨迹可以与障碍物相切.

Abstract

Aiming at the problem of safe obstacle avoidance of robotic arms,a model of shortest obstacle avoidance path planning of robotic arms based on the gravitational factor of artificial potential field was proposed.The influence of various parameters in the algorithm on the motion path of the end of the robot arm was studied.The gravitational factor was constructed,the shortest obstacle avoidance path planning model based on the gravitational factor was proposed,and the shortest obstacle avoidance path at the end of the mechanical arm and its optimal solution were solved using gradient descent method.The shortest path charac-teristics of different obstacle sizes and positions were studied and analyzed,and the joint angle path characteristics were analyzed using the plane model of the industrial SCARA robot.Experimental results show that the model parameters determine the radian change of the obstacle avoidance path.The algorithm proposed can adapt to the changes of the position and the size of obstacles,so that the end of the manipulator can avoid obstacles with the shortest path,and its motion trajectory can be tangent to the obstacles.

关键词

引力因子/人工势场/最短路径/机械臂/梯度下降法/避障/最优解

Key words

attraction factor/artificial potential field/shortest path/robot arm/gradient descent methods/obstacle avoidance/optimal solution

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基金项目

国家自然科学基金项目(62073245)

上海市自然科学基金项目(20ZR1440500)

出版年

2024
计算机工程与设计
中国航天科工集团二院706所

计算机工程与设计

CSTPCD北大核心
影响因子:0.617
ISSN:1000-7024
参考文献量15
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