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Published on 13 March 2025
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Nie,Z. (2025). Hybrid Algorithm Approaches for Robotic Arm Path Planning: A Review. Applied and Computational Engineering,138,145-154.
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Hybrid Algorithm Approaches for Robotic Arm Path Planning: A Review

Zhiyang Nie *,1,
  • 1 Guangxi University of Science and Technology, Wenchang Street, Liu Zhou, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.21385

Abstract

The path planning of robotic arms has always been the focus of research in the field of robotics, to make the trajectory of the robotic arm more accurate and smoother. It is necessary to continuously develop and improve the algorithm, at present the more mature algorithms are the A* algorithm, Dijkstra's algorithm and RRT (Rapidly Expanded Random Tree) algorithm, etc. These algorithms are often based on different principles to achieve different goals, so each has its own advantages and disadvantages, one algorithm is difficult to solve overly complex problems. Hybridization of algorithms is a way to further optimize the path planning of a robotic arm, which aims to use the advantages of one algorithm to complement the disadvantages of another. This paper will provide a systematic overview of robotic arm path optimization techniques based on hybrid algorithms, a brief description of the methodology used to collect the literature, and finally a discussion of the future direction of hybrid algorithms.

Keywords

hybrid algorithms, path planning, robotic arms, algorithm optimization

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Cite this article

Nie,Z. (2025). Hybrid Algorithm Approaches for Robotic Arm Path Planning: A Review. Applied and Computational Engineering,138,145-154.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Software Engineering and Machine Learning

Conference website: https://2025.confseml.org/
ISBN:978-1-83558-981-6(Print) / 978-1-83558-982-3(Online)
Conference date: 2 July 2025
Editor: Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.138
ISSN:2755-2721(Print) / 2755-273X(Online)

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