Research on Lifting Path Planning Algorithms for Intelligent Cranes
Journal of Engineering Research and Reports · pp. 57–63 · Published 11 Jun 2024
10.9734/jerr/2024/v26i71193Abstract
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.
Cited by 4
Jingcong He · Highlights in Science, Engineering and Technology · 2025
Yifei Xiao, T. Y. Yang, Xiao Pan · Journal of Civil Engineering and Management · 2025
Zecheng Yu, Honggui Wang, Jinge Li · Proceedings of the 2025 5th International Conference on Control and Intelligent Robotics · 2025
Showing 3 of 4 known citations — external sources report more than can currently be individually listed.
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
4
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.