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Fall 2022
Deep neural networks (DNN) have emerged as the state-of-the-art method in several research areas. DNN is yet to fully permeate resource-constrained computing platforms, such as mobile phones. Accurate DNN models being deeper and wider take considerable memory and time to execute on small devices...
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Fall 2024
In this thesis, we investigate the problem of robustness and resilience in simultaneous localization and mapping systems (SLAM). With the vast adoption of robotics in many industries and disciplines, robustness and resilience are becoming of immense importance for the reliable and safe deployment...