Abstract
Lift path planning is a key subtask in preparing lift plan. Many researchers have concerned the topic of automated path planning for crane lifts. Previous studies provided some exact approaches or optimization methods to solve the problem. However, these approaches failed when they handle the problem with high DOFs. Due to this, this paper presents an approach for automated path planning of crawler crane using RRT*. The experimental case indicates that the proposed algorithm can handle lift path planning problem with high DOFs and effectively find a safe path in complex lifting environment. © 2012 Springer-Verlag.
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CITATION STYLE
Lin, Y., Wu, D., Wang, X., Wang, X., & Gao, S. (2012). Path planning for crawler crane using RRT*. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7473 LNCS, pp. 484–491). https://doi.org/10.1007/978-3-642-34062-8_63
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