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个人信息Personal Information
教授级高工
硕士生导师
性别:男
毕业院校:大连工学院
学位:学士
所在单位:机械工程学院
电子邮箱:gaoshd@dlut.edu.cn
Path planning for crawler crane using RRT*
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论文类型:期刊论文
发表时间:2012-09-14
发表刊物:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
收录刊物:EI、Scopus
卷号:7473 LNCS
页面范围:484-491
ISSN号:9783642340611
摘要: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.