Global Motion Planning under Uncertain Motion, Sensing, and Environment Map
Motion planning that takes into account uncertainty in motion, sensing, and environment map, is critical for autonomous robots to operate reliably in our living spaces. Partially Observable Markov Decision Processes (POMDPs) is a principled and general framework for planning under uncertainty. Altho...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Robotics: Science and Systems Foundation,
2019-02-04T18:31:10Z.
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| Subjects: | |
| Online Access: | Get fulltext |