Review Article

Intelligent Crane Lifting Path Planning Algorithms

Abstract: One of the most important technological advancements in the study of intelligent cranes is the route planning algorithm, which allows for the rapid planning of a safe, collision-free path. In the area of crane lifting path planning, the state of research on path planning technologies is examined. The present research state of mainstream path planning algorithms is summarised, and the implementation principles of several types of algorithms are evaluated. Crane route planning methods can be divided into three categories based on their characteristics: deep reinforcement learning algorithms, intelligent path planning algorithms, and standard path planning algorithms. Every kind of algorithm is examined and condensed, and the creation of crane path planning algorithms is anticipated in the hopes that it will serve as a resource for associated studies.