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
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.”
Project Through Grand Challenge Program
Sep 03, 2024
Dr. Weizi Li participates in the project “Feasibility of Implementing a Personalized eHealth Program through Fitness Wearables and Applications Among Rural Cancer Survivors” funded by the UT Grand Challenge program.
Hossain Joins Fluidic City Lab
Aug 19, 2024
Alamgir Hossain is from Dhaka, Bangladesh. He received his BSc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET). His primary research interest is in Robotics and AI. Alamgir enjoys travelling and roaming around different places, and watching movies.
Raskoti Joins Fluidic City Lab
Aug 18, 2024
Chandra Raskoti is from Nepal. He received his B.E. in Electronics and Communication Engineering at IOE, Pulchowk Campus, Tribhuvan University. Next time you're up for a game, just hit him up—he'll probably say yes.
One Paper Accepted by IJRR 2024
Aug 18, 2024
Our paper Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections has been accepted by International Journal of Robotics Research (IJRR), 2024. Congratulations to all the authors!
Fan Joins Fluidic City Lab
Aug 17, 2024
Muyang Fan is from China. He received his B.S. in Mathematics from the University of Oregon. He worked as a developer at ILabs. In his free time, Muyang likes traveling, playing video games, and meditation.
Li’s Article Published in The Conversation
Aug 01, 2024
Dr. Weizi Li’s article “Robocars promise to improve traffic even when most of the cars around them are driven by people, study finds” is published in The Conversation.
One Paper Accepted to CYBER 2024
Jul 16, 2024
Our paper CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control has been accepted to International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2024. Congratulations to all the authors!
Li Invited to Programme Committee of RSS
Jul 15, 2024
Dr. Weizi Li is invited to serve in the programme committee of RSS 2024 .
Two Papers Accepted to IROS 2024
Jun 30, 2024
Our papers EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning and AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning have been accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024. Congratulations to all the authors!