Motion Planning and Optimisation of a Degree-of-Freedom Robotic Arm Considering Obstacle Avoidance and Multi-Objective Cargo Gripping

This paper addresses the motion planning and optimisation problem of a six-degree-of-freedom robot arm. The obstacle avoidance problem is introduced, and the A * algorithm is used to plan the optimal movement path of the robot arm base. Combined with the raster map model, the path planning of the robot arm in a complex environment is achieved. Then it is extended to the multi-objective cargo grasping task, and a hierarchical optimisation strategy is proposed, which integrates the grasping order, base movement and joint angle optimisation. The effectiveness of the proposed method is verified through visualisation and data analysis.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/isrimt63979.2024.10875241
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Motion Planning and Optimisation of a Degree-of-Freedom Robotic Arm Considering Obstacle Avoidance and Multi-Objective Cargo Gripping

Benxiao Lou, Huang Kai, Jiayi Gong, Kuang–Chao Fan et al.
Robotic Path Planning Algorithms
article

Motion Planning and Optimisation of a Degree-of-Freedom Robotic Arm Considering Obstacle Avoidance and Multi-Objective Cargo Gripping

Benxiao Lou, Huang Kai, Jiayi Gong, Kuang–Chao Fan, Guobin Gu, Shoudao Huang, Qi Pan, Chun Bao, Xinyi Xi, Jianqiu Chen
article en

Abstract

This paper addresses the motion planning and optimisation problem of a six-degree-of-freedom robot arm. The obstacle avoidance problem is introduced, and the A * algorithm is used to plan the optimal movement path of the robot arm base. Combined with the raster map model, the path planning of the robot arm in a complex environment is achieved. Then it is extended to the multi-objective cargo grasping task, and a hierarchical optimisation strategy is proposed, which integrates the grasping order, base movement and joint angle optimisation. The effectiveness of the proposed method is verified through visualisation and data analysis.

Central South University (CN), Guangxi Agricultural Machinery Research Institute (CN), Guilin University of Electronic Technology (CN)
Openalex Percentile: Top 73%
Robotic Path Planning Algorithms
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