Collision-free state estimation
In state estimation, we often want the maximum likelihood estimate of the current state. For the commonly used joint multivariate Gaussian distribution over the state space, this can be efficiently found using a Kalman filter. However, in complex environments the state space is often highly constrai...
Main Authors: | Lozano-Perez, Tomas, Wong, Lok Sang Lawson, Kaelbling, Leslie P. |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2014
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Online Access: | http://hdl.handle.net/1721.1/90272 https://orcid.org/0000-0002-9944-7587 https://orcid.org/0000-0002-8657-2450 https://orcid.org/0000-0001-6054-7145 |
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