Please use this identifier to cite or link to this item: https://doi.org/10.1109/ROBOT.2006.1641881
Title: Multi-level free-space dilation for sampling narrow passages in PRM planning
Authors: Hsu, D. 
Sánchez-Ante, G.
Cheng, H.-L. 
Latombe, J.-C.
Issue Date: 2006
Source: Hsu, D.,Sánchez-Ante, G.,Cheng, H.-L.,Latombe, J.-C. (2006). Multi-level free-space dilation for sampling narrow passages in PRM planning. Proceedings - IEEE International Conference on Robotics and Automation 2006 : 1255-1260. ScholarBank@NUS Repository. https://doi.org/10.1109/ROBOT.2006.1641881
Abstract: Free-space dilation is an effective approach for narrow passage sampling, a well-recognized difficulty in probabilistic roadmap (PRM) planning. Key to this approach are methods for dilating the free space and for determining the amount of dilation needed. This paper presents a new method of dilation by shrinking the geometric models of robots and obstacles. Compared with existing work, the new method is more efficient in both running time and memory usage. It is also integrated with collision checking, a key operation in PRM planning. The efficiency of the dilation method enables a new PRM planner which quickly constructs a series of dilated free spaces and automatically determine the amount of dilation needed. Experiments show that both the dilation method and the planner work well in complex geometric environments. In particular, the planner reliably solved the most difficult version of the alpha puzzle, a benchmark test for PRM planners. ©2006 IEEE.
Source Title: Proceedings - IEEE International Conference on Robotics and Automation
URI: http://scholarbank.nus.edu.sg/handle/10635/40155
ISBN: 0780395069
ISSN: 10504729
DOI: 10.1109/ROBOT.2006.1641881
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