Research on Path Planning of Puncture Robot Based on Improved Artificial Potential Field Method

When studying the collision free path planning for puncture robots, due to the presence of obstacles such as medical equipment and instruments in the working environment. This article first compares commonly used collision detection methods, and selects appropriate algorithms based on the configuration and working environment of the puncture robot; Secondly, the method of the artificial field of potential energy is used for the design of the route, and the common problems of the traditional method of the artificial potential field, such as unattainable targets and local minima, are analyzed and solutions are proposed; Finally, testing was conducted in the ROS simulator, and according to the test results, the improved method of the artificial potential field can successfully guide the robot to the target point position without collision.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878673
Citations
3
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.75
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Research on Path Planning of Puncture Robot Based on Improved Artificial Potential Field Method

Qianqian Tian, Menghua Zhang, Qing Han, Dan Wu et al.
3 citations
Robotic Path Planning Algorithms
0.75
article

Research on Path Planning of Puncture Robot Based on Improved Artificial Potential Field Method

Qianqian Tian, Menghua Zhang, Qing Han, Dan Wu, Xiwei Song, Honghua Zhao
article en
3 citations

Abstract

When studying the collision free path planning for puncture robots, due to the presence of obstacles such as medical equipment and instruments in the working environment. This article first compares commonly used collision detection methods, and selects appropriate algorithms based on the configuration and working environment of the puncture robot; Secondly, the method of the artificial field of potential energy is used for the design of the route, and the common problems of the traditional method of the artificial potential field, such as unattainable targets and local minima, are analyzed and solutions are proposed; Finally, testing was conducted in the ROS simulator, and according to the test results, the improved method of the artificial potential field can successfully guide the robot to the target point position without collision.

University of Jinan (CN)
Openalex Percentile: Top 26%
Robotic Path Planning Algorithms
0.75
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