<--- Back to Details
First PageDocument Content
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
Date: 2011-09-21 07:00:30
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

Asymptotic Optimality in Sampling-based Motion Planning Sertac Karaman Although one of the fundamental problems in robotics, the motion planning problem is inherently hard from a computational point of view. In particula

Add to Reading List

Source URL: iros2011.org

Download Document from Source Website

File Size: 4,02 MB

Share Document on Facebook

Similar Documents

EE365: Deterministic Finite State Control  Deterministic optimal control Shortest path problem Dynamic programming Examples

EE365: Deterministic Finite State Control Deterministic optimal control Shortest path problem Dynamic programming Examples

DocID: 1vg0M - View Document

We approach the problem of computing geometric centralities, such as closeness and harmonic centrality, on very large graphs; traditionally this task requires an all-pairs shortest-path computation in the exact case, or

We approach the problem of computing geometric centralities, such as closeness and harmonic centrality, on very large graphs; traditionally this task requires an all-pairs shortest-path computation in the exact case, or

DocID: 1sauD - View Document

We approach the problem of computing geometric centralities, such as closeness and harmonic centrality, on very large graphs; traditionally this task requires an all-pairs shortest-path computation in the exact case, or

We approach the problem of computing geometric centralities, such as closeness and harmonic centrality, on very large graphs; traditionally this task requires an all-pairs shortest-path computation in the exact case, or

DocID: 1rNo2 - View Document

Improving Restoration Success in Mesh Optical Networks Fang Yu 1, Rakesh Sinha2, Dongmei Wang3, Guangzhi Li3, John Strand2, Robert Doverspike2, Charles Kalmanek 3, and Bruce Cortez 2 1 EECS Department, UC Berkeley, Berke

Improving Restoration Success in Mesh Optical Networks Fang Yu 1, Rakesh Sinha2, Dongmei Wang3, Guangzhi Li3, John Strand2, Robert Doverspike2, Charles Kalmanek 3, and Bruce Cortez 2 1 EECS Department, UC Berkeley, Berke

DocID: 1rrH0 - View Document

CS261: A Second Course in Algorithms Lecture #2: Augmenting Path Algorithms for Maximum Flow∗ Tim Roughgarden† January 7, 2016

CS261: A Second Course in Algorithms Lecture #2: Augmenting Path Algorithms for Maximum Flow∗ Tim Roughgarden† January 7, 2016

DocID: 1rn0k - View Document