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Content Provider | IEEE Xplore Digital Library |
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Author | Rodriguez, S. Jyh-Ming Lien Amato, N.M. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Comput. Sci., Texas A&M Univ., TX (Rodriguez, S.; Jyh-Ming Lien; Amato, N.M.) |
Abstract | Though motion planning has been studied extensively for rigid and articulated robots, motion planning for deformable objects is an area that has received far less attention. In this paper we present a framework for planning paths in completely deformable, elastic environments. We apply a deformable model to the robot and obstacles in the environment and present a kinodynamic planning algorithm suited for this type of deformable motion planning. The planning algorithm is based on the rapidly-exploring random tree (RRT) path planning algorithm. To the best of our knowledge, this is the first work that plans paths in totally deformable environments |
Sponsorship | IEEE Robotics and Autom. Soc |
Starting Page | 2466 |
Ending Page | 2471 |
File Size | 624586 |
Page Count | 6 |
File Format | |
ISBN | 0780395050 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2006.1642072 |
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 | Motion planning Deformable models Robots Path planning Surgery Application software Computational modeling Shape Bones Surgical instruments |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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