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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Bibliographic Details
Main Authors: Perez, Alejandro Tomas (Contributor), Karaman, Sertac (Contributor), Shkolnik, Alexander C. (Contributor), Frazzoli, Emilio (Contributor), Teller, Seth (Contributor), Walter, Matthew R. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-10-02T14:19:58Z.
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