Unifying perception, estimation and action for mobile manipulation via belief space planning
In this paper, we describe an integrated strategy for planning, perception, state-estimation and action in complex mobile manipulation domains. The strategy is based on planning in the belief space of probability distribution over states. Our planning approach is based on hierarchical symbolic regre...
Main Authors: | Lozano-Perez, Tomas (Contributor), Kaelbling, Leslie P. (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2014-09-22T18:43:31Z.
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Subjects: | |
Online Access: | Get fulltext |
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