NSF-AoF Award Granted: Safe Reinforcement Learning in Non-Stationary Environments With Fast Adaptation and Disturbance Prediction

Congratulations! We start a new NSF-AoF collaborative research project: Safe Reinforcement Learning in Non-Stationary Environments With Fast Adaptation and Disturbance Prediction. This project aims to develop a framework to enable safe and efficient reinforcement learning for robot control in non-stationary environments, leveraging control theoretical tools for fast adaptation and perception-based disturbance prediction. Finnish Partners: Reza […]

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Congratulations! Arun and Gabriel had successful final defenses for their Ph.D.!

Congratulations to Arun and Gabriel! They defended their Ph.D. final exams successfully! Here are the final defense recordings. Safe Planning and Control for Uncertain Nonlinear Systems via L1-Adaptive Control and Contraction Analysis Arun Lakshmanan The link to the video is https://uofi.box.com/s/zlsgmiykberl65bmnte0fmcbcz6sqt8y.   Efficient Risk-Averse Algorithms for Air-Ground Payload Transfers Gabriel Barsi Haberfeld The link to […]

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Congratulations! Three students had successful preliminary exams for their Ph.D.!

Congratulations to Kasey, Andrew, and Arun for the successful preliminary exams for their Ph.D.! Kasey Ackerman The preliminary proposal title: L1 Adaptive Control for Nonlinear Reference Systems with Unmatched Uncertainties Arun Lakshmanan The preliminary proposal title: Safe Planning and Control for Uncertain Nonlinear Systems via L1-Adaptive Control and Contraction Analysis Andrew Patterson The preliminary proposal […]

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We presented our papers at CDC 2020!

Please check the following three papers presented at CDC 2020. A Safety Constrained Control Framework for UAVs in GPS Denied Environment Wenbin Wan, Hunmin Kim, Naira Hovakimyan, Lui Sha, and Petros G. Voulgaris Presentation Slides  |  Presentation Video  |  Paper Abstract: Unmanned aerial vehicles (UAVs) suffer from sensor drifts in GPS denied environments, which can lead to potentially […]

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