LQR-Trees: Feedback motion planning on sparse randomized trees

Recent advances in the direct computation of Lyapunov functions using convex optimization make it possible to efficiently evaluate regions of stability for smooth nonlinear systems. Here we present a feedback motion planning algorithm which uses these results to efficiently combine locally valid...

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Detalles Bibliográficos
Autor principal: Tedrake, Russell Louis
Otros Autores: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Formato: Artículo
Lenguaje:en_US
Publicado: MIT Press 2011
Acceso en línea:http://hdl.handle.net/1721.1/64643
https://orcid.org/0000-0002-8712-7092

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