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...
Main Authors: | Aoude, Georges, Roy, Nicholas, How, Jonathan P., Luders, Brandon Douglas, Joseph, Joshua Mason |
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Other Authors: | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
Format: | Article |
Language: | en_US |
Published: |
Springer-Verlag
2013
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Online Access: | 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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