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