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Work Presented at the 14th China Academy Conference on Printing and Packaging 2023
Volume: 68 | Article ID: 020403
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A Motion Planning Method for 6-DOF Mechanical Arm based on Improved RRT Algorithm
  DOI :  10.2352/J.ImagingSci.Technol.2024.68.2.020403  Published OnlineMarch 2024
Abstract
Abstract

A path planning method based on improved RRT (rapidly exploring random tree) algorithm is proposed for the motion obstacle avoidance problem of a composite mobile robot with a 6-DOF mechanical arm in guide roller production line. First, the kinematic model of the 6-DOF manipulator is established by using the MD–H (Modified Denavit–Hartenberg) parameter method, revealing the mapping relationship between the joint space and the operation space of the manipulator. Second, a trajectory planning algorithm based on quintic polynomial interpolation and a path planning method based on improved RRT algorithm are proposed to carry out motion planning for the manipulator. Finally, the above methods are simulated in MATLAB, and the simulation experiment shows that the motion trajectory of the proposed method can ensure the smooth operation of the robot, and the continuity is improved. There is no obvious vibration during the entire process from the starting point to the end point, and the manipulator motion is stable. The method is feasible. The above characteristics prove the feasibility of the proposed methods. Simulation of the production workshop environment for guiding roller in ROS (Robot Operating System) was conducted. The loading and unloading tasks of steel shaft parts for the guiding roller were completed. The specific application of the proposed motion planning method in the simulation environment was realized, demonstrating the feasibility and effectiveness of the method.

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  Cite this article 

Huiran Ren, Shanhui Liu, Jiaqi Liu, Gaojiang Qin, Xu Bian, "A Motion Planning Method for 6-DOF Mechanical Arm based on Improved RRT Algorithmin Journal of Imaging Science and Technology,  2024,  pp 1 - 11,  https://doi.org/10.2352/J.ImagingSci.Technol.2024.68.2.020403

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Copyright © Society for Imaging Science and Technology 2024
  Article timeline 
  • received June 2023
  • accepted September 2023
  • PublishedMarch 2024

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