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Content Provider | IEEE Xplore Digital Library |
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Author | Liangjun Zhang Kim, Y.J. Varadhan, G. Manocha, D. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Comput. Sci., North Carolina Univ., Chapel Hill, NC (Liangjun Zhang) |
Abstract | The configuration space of a robot is partitioned into free space and C-obstacle space. Most of the prior work in collision detection and motion planning algorithms is targeted towards checking whether a configuration or a 1D path lies in the free space. In this paper, we address the problem of checking whether a C-space primitive or a spatial cell lies completely inside C-obstacle space, without explicitly computing the boundary of C-obstacle. We refer to the problem as the C-obstacle query. We present a fast and conservative algorithm to perform this C-obstacle query. Our algorithm uses the notion of generalized penetration depth that takes into account both translational and rotational motion. We compute the generalized penetration depth for polyhedral objects and compare it with the extent of the motion that the polyhedral robot can undergo. Our approach is general and useful for designing practical algorithms for complete motion planning of rigid robots. We have integrated our query computation algorithm with star-shaped roadmaps (G. Varadhan and D. Manocha, 2005) - a deterministic sampling approach for complete motion planning. We have applied our modified planning algorithm to planar robots undergoing translational and rotational motion in complex 2D environments. Our algorithm is able to perform the C-obstacle query in milliseconds and improves the performance of the complete motion planning algorithm |
Sponsorship | IEEE Robotics and Autom. Soc |
Starting Page | 3035 |
Ending Page | 3040 |
File Size | 581833 |
Page Count | 6 |
File Format | |
ISBN | 0780395050 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2006.1642163 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-05-15 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Orbital robotics Motion planning Sampling methods Computer science Path planning Robots Motion detection Partitioning algorithms Algorithm design and analysis Road accidents |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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