Efficient Planning in Non-Gaussian Belief Spaces and Its Application to Robot Grasping

Efficient Planning in Non-Gaussian Belief Spaces and Its Application to Robot Grasping

© Springer International Publishing Switzerland 2017. The limited nature of robot sensors make many important robotics problems partially observable. These problems may require the system to perform complex information-gathering operations. One approach to solving these problems is to create plans i...

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Bibliographic Details
Main Authors: Platt, Robert, Kaelbling, Leslie, Lozano-Perez, Tomas, Tedrake, Russ
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer International Publishing 2021
Online Access:https://hdl.handle.net/1721.1/137700

Internet

https://hdl.handle.net/1721.1/137700

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