Efficient Imitation Learning for Robust, Adaptive, Vision-based Agile Flight Under Uncertainty
Existing robust model predictive control (MPC) and vision-based state estimation algorithms for agile flight, while achieving impressive performance, still demand significant onboard computation, preventing deployment on robots with tight Cost, Size, Weight, and Power (CSWaP)constraints. The existin...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/155345 |