Integrating Human-Provided Information into Belief State Representation Using Dynamic Factorization

© 2018 IEEE. In partially observed environments, it can be useful for a human to provide the robot with declarative information that represents probabilistic relational constraints on properties of objects in the world, augmenting the robot's sensory observations. For instance, a robot tasked w...

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Bibliographic Details
Main Authors: Chitnis, Rohan(Rohan Sunil), Kaelbling, Leslie Pack, Lozano-Perez, Tomas
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/137703