Asymptotically-optimal path planning for manipulation using incremental sampling-based algorithms

Asymptotically-optimal path planning for manipulation using incremental sampling-based algorithms

A desirable property of path planning for robotic manipulation is the ability to identify solutions in a sufficiently short amount of time to be usable. This is particularly challenging for the manipulation problem due to the need to plan over high-dimensional configuration spaces and to perform com...

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Bibliografische gegevens
Hoofdauteurs: Perez, Alejandro Tomas, Karaman, Sertac, Shkolnik, Alexander C., Frazzoli, Emilio, Teller, Seth, Walter, Matthew R.
Andere auteurs: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Formaat: Artikel
Taal:en_US
Gepubliceerd in: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online toegang:http://hdl.handle.net/1721.1/73541
https://orcid.org/0000-0001-6365-6937
https://orcid.org/0000-0002-0505-1400
https://orcid.org/0000-0002-2225-7275

Internet

http://hdl.handle.net/1721.1/73541
https://orcid.org/0000-0001-6365-6937
https://orcid.org/0000-0002-0505-1400
https://orcid.org/0000-0002-2225-7275

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