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.
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Lin, Y., Wu, D., Wang, X., Wang, X., Gao, S. (2012). Path Planning for Crawler Crane Using RRT*. In: Liu, B., Ma, M., Chang, J. (eds) Information Computing and Applications. ICICA 2012. Lecture Notes in Computer Science, vol 7473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34062-8_63
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DOI: https://doi.org/10.1007/978-3-642-34062-8_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34061-1
Online ISBN: 978-3-642-34062-8
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