Decentralized path planning for multiple agents in complex environments using rapidly-exploring random trees
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010. === Cataloged from PDF version of thesis. === Includes bibliographical references (p. 89-94). === This thesis presents a novel approach to address the challenge of planning paths for real-world multi-a...
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| Language: | English |
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Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/62480 |