Research on trajectory planning method of anchor drilling robot manipulator

In order to enhance the efficiency of tunnel support in coal mines, a study focused on the six-degree-of-freedom drill anchor robot manipulator arm and proposed an optimal trajectory planning method based on an improved grey wolf optimization algorithm. Firstly, the kinematic model of the manipulator arm was established using the D-H parameter method. Monte Carlo method was utilized for workspace analysis of the manipulator arm, and MATLAB software was employed for simulation verification; Secondly, joint-space trajectory of the manipulator arm was planned using piecewise polynomial interpolation; Finally, an improved grey wolf optimization algorithm was proposed and its performance tested for time optimization of the manipulator arm based on trajectory planning. The results show that the drill-anchoring robot manipulator meets the requirements for coal mine roadway anchoring operations; the 3-5-3 piecewise polynomial interpolation method provides smoother operation of the manipulator; and the time required for the manipulator to reach predefined trajectory points under constraint conditions is reduced by 30.40 % to 50.28 %, outperforming traditional trajectory planning methods.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.19606/j.cnki.jmst.2024.05.015
Primary Topic
Tunneling and Rock Mechanics
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on trajectory planning method of anchor drilling robot manipulator

SHILAP Revista de lepidopterología
Tunneling and Rock Mechanics
article

Research on trajectory planning method of anchor drilling robot manipulator

article en

Abstract

In order to enhance the efficiency of tunnel support in coal mines, a study focused on the six-degree-of-freedom drill anchor robot manipulator arm and proposed an optimal trajectory planning method based on an improved grey wolf optimization algorithm. Firstly, the kinematic model of the manipulator arm was established using the D-H parameter method. Monte Carlo method was utilized for workspace analysis of the manipulator arm, and MATLAB software was employed for simulation verification; Secondly, joint-space trajectory of the manipulator arm was planned using piecewise polynomial interpolation; Finally, an improved grey wolf optimization algorithm was proposed and its performance tested for time optimization of the manipulator arm based on trajectory planning. The results show that the drill-anchoring robot manipulator meets the requirements for coal mine roadway anchoring operations; the 3-5-3 piecewise polynomial interpolation method provides smoother operation of the manipulator; and the time required for the manipulator to reach predefined trajectory points under constraint conditions is reduced by 30.40 % to 50.28 %, outperforming traditional trajectory planning methods.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 58%
Tunneling and Rock Mechanics
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