The seminar is presented by Dr. Christopher Elliott. The video and slides can be found here.

MechSE Professor Naira Hovakimyan’s success in patents, licensing, and commercialization has earned entry into the 2023 class of Senior Members of the National Academy of Inventors (NAI). Hovakimyan was recognized for producing “technologies that have brought, or aspire to bring, real impact on the welfare of society” and for her contributions to the innovation ecosystem at […]

We have returned to onsite for an in-person group meeting starting this week! Dr. Tigran Bakaryan presented his research in Mean Field Games theory.

Congratulations to Wenbin! He defended his Ph.D. final exam successfully!  

Professor Naira Hovakimyan was recently hosted by TEDxYerevan that was using the hashtag #OnceUponAScience, where she spoke about the hidden cost of resistance to innovation. Watch her very inspiring talk at: https://www.youtube.com/watch?v=gFriUA9vWYI. You could view the PDF file of the talk at the following link at https://uofi.box.com/s/7xtmlwcgllmqi46em732w562iefdwrax.  

We are excited to learn that NASA selected our proposal, “Robust Resilient Autonomy for Advanced Air Mobility” for their 5th round of ULI funding: https://www.nasa.gov/press-release/nasa-selects-four-university-teams-for-aviation-projects/. We have partnered with Chuchu Fan from MIT, Evangelos Theodorou from GaTech, Petros Voulgaris and Christos Papachristos from UNR, and Ali Karimoddini and Ioannis Raptis from NCAT, along with collaborators […]

Congratulations to Kasey! He defended his Ph.D. final exam successfully!

Congratulations to Andrew! He defended his Ph.D. final exam successfully! Here is the final defense recording.   The link to the video is https://uofi.box.com/s/gkh4b9ud8uzncjeloabekcg513220u36.

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 […]

Our presentation at the IEEE CCTA workshop on Multi-Vehicle and Assured Autonomous Control for Aerospace Applications can be downloaded here.