Research on Lifting Path Planning Algorithms for Intelligent Cranes

Guoxiang Yu

North China University of Water Resources and Electric Power, Zhengzhou, Henan, China.

Shoubo Wang *

North China University of Water Resources and Electric Power, Zhengzhou, Henan, China.

*Author to whom correspondence should be addressed.


Abstract

Path planning algorithm is one of the key technologies in the study of intelligent cranes, and a good path planning algorithm can quickly plan a safe and collision-free path. The current research status of path planning technology in the field of crane lifting path planning is reviewed. The implementation principles of various types of algorithms are analysed, and the current research status of mainstream path planning algorithms is summarized. According to the characteristics of crane path planning algorithms, crane path planning algorithms are classified into traditional path planning algorithms, intelligent path planning algorithms and deep reinforcement learning algorithms. For each type of algorithm is analysed and summarized, and the development of crane path planning algorithms is looked forward to, hoping to provide reference for related research.

Keywords: Intelligent crane, route planning, traditional algorithm, intelligent algorithm


How to Cite

Yu, Guoxiang, and Shoubo Wang. 2024. “Research on Lifting Path Planning Algorithms for Intelligent Cranes”. Journal of Engineering Research and Reports 26 (7):57-63. https://doi.org/10.9734/jerr/2024/v26i71193.

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