![Robot control / Search algorithms / Rapidly-exploring random tree / Motion planning / Algorithm / Asymptotic computational complexity / Asymptotically optimal algorithm / Probabilistic roadmap / Shortest path problem / Applied mathematics / Mathematics / Theoretical computer science Robot control / Search algorithms / Rapidly-exploring random tree / Motion planning / Algorithm / Asymptotic computational complexity / Asymptotically optimal algorithm / Probabilistic roadmap / Shortest path problem / Applied mathematics / Mathematics / Theoretical computer science](https://www.pdfsearch.io/img/d61a5689b20e8a1565efcde477b10881.jpg)
| Document Date: 2011-09-21 07:00:30 Open Document File Size: 4,02 MBShare Result on Facebook
City Shanghai / Sampling / / Company MIT Press / / Country China / Singapore / / Facility Laboratory of Information / Massachusetts Institute of Technology / Harvard University / / IndustryTerm path-merging algorithm / autonomous car-like robot / motion planning algorithms / manner using such algorithms / real-time implementations / feasible solution / online settings / final solution / dedicated parallel computing hardware / computing / expert race car drivers / asymptotically-optimal incremental sampling-based algorithms / Real-time motion / incremental sampling-based algorithms / dynamical systems / feasible solutions / real-time planning scenario / / Organization Harvard University / Laboratory of Information and Decision Systems / Massachusetts Institute of Technology / / Position S. Teller / / ProvinceOrState Massachusetts / / Technology sampling-based algorithms / RRG algorithm / sampling-based motion planning algorithms / RRT∗ algorithm / RRT algorithms / incremental sampling-based algorithms / path-merging algorithm / motion planning algorithms / RRT algorithm / two algorithms / /
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