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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kuffner, J.J. LaValle, S.M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Computer Science, Univ. of Illinois at Urbana-Champaign, 61801 USA (LaValle, S.M.) || The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213 USA (Kuffner, J.J.) |
| Abstract | This paper introduces space-filling trees and analyzes them in the context of sampling-based motion planning. Space-filling trees are analogous to space-filling curves, but have a branching, tree-like structure, and are defined by an incremental process that results in a tree for which every point in the space has a finite-length path that converges to it. In contrast to space-filling curves, individual paths in the tree are short, allowing any part of the space to be quickly reached from the root. We compare some basic constructions of space-filling trees to Rapidly-exploring Random Trees (RRTs), which underlie a number of popular algorithms used for sampling-based motion planning. We characterize several key tree properties related to path quality and the overall efficiency of exploration and conclude with a number of open mathematical questions. |
| Starting Page | 2199 |
| Ending Page | 2206 |
| File Size | 1000899 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781612844541 |
| ISSN | 21530858 |
| e-ISBN | 9781612844565 |
| DOI | 10.1109/IROS.2011.6094740 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vegetation Nickel Planning Fractals Wires USA Councils Filling |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software |
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