Decision-making in robotics as probabilistic inference
Decision-making problems in robotics necessitate reasoning in the presence of uncertainty. Different problems in robotics often require distinct solutions. For instance, state estimation is commonly achieved by variants of the Bayes Filter, such as Kalman Filters and Particle Filters. On the other h...
Main Author: | Baioumy, M |
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Other Authors: | Hawes, N |
Format: | Thesis |
Language: | English |
Published: |
2024
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Subjects: |
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