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Content Provider | IEEE Xplore Digital Library |
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Author | Yang, L. LaValle, S.M. |
Copyright Year | 2000 |
Description | Author affiliation: Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA (Yang, L.) |
Abstract | This paper presents a randomized framework for computing feedback motion strategies, by defining a global navigation function over a collection of spherical balls in the configuration space. If the goal is changed, an updated navigation function can be quickly computed, offering benefits similar to the fast multiple queries permitted by the probabilistic roadmap approach to path planning. Our choice of balls is motivated in part by recent tools from computational geometry which compute point locations and arrangements efficiently without significant dependence on dimension. We present a construction algorithm that includes a Bayesian termination condition based on the probability that a specified fraction of the free space is covered. A basic implementation illustrates the framework for rigid and articulated bodies with up to five-dimensional configuration spaces. |
Starting Page | 544 |
Ending Page | 549 |
File Size | 716659 |
Page Count | 6 |
File Format | |
ISBN | 0780358864 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2000.844110 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2000-04-24 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Strategic planning Feedback Path planning Navigation Robot sensing systems Orbital robotics Error correction Convergence Computer science Computational geometry |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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