双机械臂核机器人避碰路径规划

Xiangjun Liu, Chenyang Sun, Linjunhao Xiao, Runjie Shen
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引用次数: 1

摘要

针对双机械臂重型机器人在搬运、抓取和拆卸过程中实现无碰撞、精确同步运动学自主协调控制的要求,研究了双机械臂操作中避碰路径规划方法。双机械臂是系统的重要组成部分,其工作状态直接关系到整个系统的稳定性和可靠性。在本文中,我们使用改进的DH方法对双机械臂的位置和姿态进行数学建模。在机器人操作系统下,我们采用了Moveit!来控制机器人手臂的运动。最后,在不同距离障碍物情况下,对改进的融合算法进行仿真,并与现有的人工势场法和RRT*算法进行比较。实验结果表明,改进的融合算法具有较好的路径规划效果,可以使机器人手臂沿成本最小的路径顺利到达目标,且不会发生碰撞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collision Avoidance Path Planning of Nuclear Robot with Dual Manipulators
Aiming at the requirement of collision-free and precise synchronized kinematics autonomous coordinated control of the dual-manipulator heavy-duty robot in carrying, grasping and dismantling operations, this paper studied the method of collision avoidance path planning in the dual-manipulator operation. The dual mechanical arm is an important part of the system, and its working state is directly related to the stability and reliability of the entire system. In this paper, we used the improved DH method to mathematically model the position and posture of the dual robotic arms. Under the robot operating system, we adopted Moveit! to control the movement towards the robotic arms. Finally, under obstacles at different distances, we simulated the improved fusion algorithm and compared it with the existing artificial potential field method and RRT* algorithm. The experimental results show that the improved fusion algorithm has better path planning effect and can make the robot arm reach the goal smoothly along the path of the least cost without collision.
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