Uncertainty Discretization for Motion Planning Under Uncertainty
In this thesis, the problem of motion planning under uncertainty is explored. Motion planning under uncertainty is important since even with noise during the execution of the plan, it is desirable to keep the collision risk low. However, for the motion planning to be useful it needs to be possible t...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Institutionen för datavetenskap
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170496 |