运动规划
任意角度路径规划
路径(计算)
算法
计算机科学
平面图(考古学)
人工智能
机器人
考古
历史
程序设计语言
作者
Guoxiang Yu,Shoubo Wang
出处
期刊:Journal of Engineering Research and Reports
[Sciencedomain International]
日期:2024-06-11
卷期号:26 (7): 57-63
标识
DOI:10.9734/jerr/2024/v26i71193
摘要
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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