智能起重机提升路径规划算法研究

Guoxiang Yu, Shoubo Wang
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引用次数: 0

摘要

路径规划算法是智能起重机研究的关键技术之一,好的路径规划算法可以快速规划出安全、无碰撞的路径。本文综述了路径规划技术在起重机起重路径规划领域的研究现状。分析了各类算法的实现原理,总结了主流路径规划算法的研究现状。根据起重机路径规划算法的特点,将起重机路径规划算法分为传统路径规划算法、智能路径规划算法和深度强化学习算法。针对每类算法进行了分析和总结,并对起重机路径规划算法的发展进行了展望,希望能为相关研究提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Lifting Path Planning Algorithms for Intelligent Cranes
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.
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