Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns

Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns

This paper presents a real-time path planning algorithm that guarantees probabilistic feasibility for autonomous robots with uncertain dynamics operating amidst one or more dynamic obstacles with uncertain motion patterns. Planning safe trajectories under such conditions requires both accurate predi...

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Bibliographic Details
Main Authors: Aoude, Georges, Roy, Nicholas, How, Jonathan P., Luders, Brandon Douglas, Joseph, Joshua Mason
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: Springer-Verlag 2013
Online Access:http://hdl.handle.net/1721.1/81864
https://orcid.org/0000-0001-8576-1930
https://orcid.org/0000-0002-8293-0492

Internet

http://hdl.handle.net/1721.1/81864
https://orcid.org/0000-0001-8576-1930
https://orcid.org/0000-0002-8293-0492

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