Fluidic City Lab
Welcome to the Fluidic City Lab in the Min H. Kao Department of Electrical Engineering and Computer Science at The University of Tennessee! We are a highly interdisciplinary team passionate about shaping future urban environments through the advancement of human mobility. Our current focus lies in the integration of increasing autonomy into the mobility system and its impact on the built environment and urban inhabitants. We draw research methods and tools from machine learning/reinforcement learning, robotics, multi-agent systems, visual computing, human-computer interaction, and transportation engineering.
Latest News
One Paper Accepted by IMWUT
Jul 05, 2025
Our paper VibRun: Real-time Contactless Gait Analysis for Treadmill Running via Footstep Vibrations has been accepted by the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Congratulations to all the authors!
One Paper Accepted to ITSC 2025
Jul 01, 2025
Our paper Origin-Destination Pattern Effects on Large-Scale Mixed Traffic Control Via Multi-Agent Reinforcement Learning has been accepted to The IEEE International Conference on Intelligent Transportation Systems (ITSC), 2025. Congratulations to all the authors!
Seven Papers Accepted to IROS 2025
Jul 01, 2025
Seven papers have been accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. Congratulations to all the authors!
Li Invited to become Associate Editor of ITSC 2025
Apr 15, 2025
Dr. Weizi Li is invited to join the Technical Program Committee as Associate Editor of ITSC 2025.
Project Through Chancellor’s Innovation Fund
Mar 01, 2025
Dr. Shuai Li, Dr. Jindong Tan, and Dr. Weizi Li are together awarded Chancellor’s Innovation Fund for their project "A method, system, and apparatus for recognizing object surface materials for adaptive multimode robotic disinfection."
One Paper Accepted to CHASE 2025
Feb 17, 2025
Our paper PulseRide: A Robotic Wheelchair for Personalized Exertion Control with Human-in-the-Loop Reinforcement Learning has been accepted to IEEE/ACM conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE). Congratulations to all the authors!
One Paper Accepted by EAAI
Jan 24, 2025
Our paper Reinforcement Learning Based Multi-Perspective Motion Planning of Manned Electric Vertical Take-off and Landing Vehicle in Urban Environment with Wind Fields has been accepted by Engineering Applications of Artificial Intelligence (EAAI). Congratulations to all the authors!
One Paper Accepted by IEEE T-ASE
Jan 10, 2025
Our paper Swarm Robotic Flocking With Aggregation Ability Privacy has been accepted by IEEE Transactions on Automation Science and Engineering (T-ASE). Congratulations to all the authors!
Li and Islam Organize ITSC Workshop
Sep 24, 2024
Dr. Weizi Li and Iftekharul Islam participate in organizing the ITSC 2024 workshop “Advanced Modeling, Evaluation, and Simulation of Interactions in Mixed Traffic Comprising Pedestrians, Automated Vehicles, and Human-driven Vehicles.”