Congratulations to Javier! He defended his Ph.D. final exam successfully! The final defense video is attached. The link to the video is https://uofi.box.com/s/51uvsvls20ehkqjm9behwdwb49od03tj.
Read MoreCongratulations to Javier! He defended his Ph.D. final exam successfully! The final defense video is attached. The link to the video is https://uofi.box.com/s/51uvsvls20ehkqjm9behwdwb49od03tj.
Read MoreCongratulations to Alexandre Barbosa for winning the Stanley I. Weiss Outstanding Thesis Award! Please check MechSE News.
Read MoreNew lab members! A welcome to Erin Swansen and Minjun Sung who joined the lab this Spring.
Read MoreCongratulations 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 […]
Read MorePlease 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 […]
Read MoreCongratulations! Our paper “f-Divergence Variational Inference” got accepted by NeurIPS 2020! Link: Paper (Arxiv) | Video f-Divergence Variational Inference Neng Wan*, Dapeng Li*, and Naira Hovakimyan Abstract: This paper introduces the f-divergence variational inference (f-VI) that generalizes variational inference to all f-divergences. Initiated from minimizing a crafty surrogate f-divergence that shares the statistical consistency with […]
Read MoreProfessor Naira Hovakimyan gave a technical talk on “Safe Learning and Control with L1 Adaptation”. Links: Robotics Today Presentation Video
Read MoreWe organized a CVPR workshop: Agriculture-vision: Challenge & Opportunities for Computer Vision in Agriculture in conjunction with IEEE/CVF CVPR 2020. Link to the webpage. Link to the workshop website.
Read MoreCongratulations! Our article “Modeling yield response to crop management using convolutional neural networks” appears among the most downloaded articles. We have 3995 downloads in the last 90 days. Link to most downloaded articles page. Link to deeplearning.ai blog.
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