Welcome to the website of the Advanced Controls Research Laboratory. Here we work on a wide range of interdisciplinary problems, and we collaborate with industry and government laboratories on the transition and commercialization of our solutions across different industries.
Mechanical Science and Engineering
University of Illinois at Urbana-Champaign
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Flight Test of L1 Adaptive Augmentation on Learjet 25: Lifting Body & Engine Out
Our Lab
Recent News
A welcome to new lab members
New lab members! A welcome to Erin Swansen and Minjun Sung who joined the lab this Spring.
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:…
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…
Our paper “f-Divergence Variational Inference” got accepted by NeurIPS 2020!
Congratulations! Our paper “f-Divergence Variational Inference” got accepted by NeurIPS 2020! Link: Paper (Arxiv) | Video f-Divergence Variational Inference Neng…
Robotics Today: “Safe Learning and Control with L1 Adaptation”
Professor Naira Hovakimyan gave a technical talk on "Safe Learning and Control with L1 Adaptation". Links: Robotics Today Presentation Video
Alexandre Barbosa defended his thesis successfully!
Congratulations to Alex! He defended his Ph.D. final exam successfully!
CVPR Workshop | Agriculture-vision: Challenge & Opportunities
We organized a CVPR workshop: Agriculture-vision: Challenge & Opportunities for Computer Vision in Agriculture in conjunction with IEEE/CVF CVPR 2020.…
Our article appears among the most downloaded articles!
Congratulations! Our article "Modeling yield response to crop management using convolutional neural networks" appears among the most downloaded articles. We…
Our research work on crop prediction using CNN was reported on today’s “The Batch” Newsletter!
The research work of applying machine learning techniques to crop yield prediction in our group attracted researchers' attention and recognition…
New paper on agriculture-related image dataset got accepted by CVPR 2020, Seattle
Congratulations, researchers from our group are employing visual pattern recognition techniques in agricultural setting, providing more opportunities in data-driven farming.…