CoRAL

Controls, Robotics and Automation Laboratory

Our main research interests are in the areas of robotics, multi-agent learning, control, and estimation, Bayesian methods, unmanned system navigation and control, active sensing, and machine learning applications. We also like CLOSING LOOPS.

Research Loops

News

Jan 6, 2025 Kevin Bhar successfully defended his PhD Qualifying Exam. Congratulations!
Aug 8, 2024 Shahbaz successfully defended his PhD Prelim Exam. Congratulations!
Dec 15, 2023 Asma and Hao both successfully defended their PhD thesis. Congratulations!
Jun 3, 2022 Kevin Bhar successfully defended his PhD Prelim Exam. Congratulations!
Apr 12, 2022 Shahbaz successfully defended his MS thesis. Congratulations! He will continue to pursue his PhD.

Selected Publications

2024

  1. Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
    Jing, Gangshan, Bai, He, George, Jemin, Chakrabortty, Aranya, and Sharma, Piyush K
    IEEE Transactions on Automatic Control 2024
  2. A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic
    Lu, Jiaxing, Hossain, Sanzida, Lam, Wakun, Sheng, Weihua, and Bai, He
    IEEE Transactions on Intelligent Transportation Systems 2024

2023

  1. A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations
    Tabassum, Asma, Bai, He, and Fala, Nicoletta
    In International Conference on Human-Computer Interaction 2023
  2. Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning
    Bhar, Kinjal, Bai, He, George, Jemin, and Busart, Carl
    Automatica 2023
  3. Cooperative Driving Between Human-driven Vehicle and Autonomous Vehicle Considering Stochastic Human Behavior States
    Hossain, Sanzida, Lu, Jiaxing, Bai, He, and Sheng, Weihua
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023
    PDF
  4. Dynamic covariance prediction using variational Wishart processes with uncertain inputs
    Uzzaman, Nahid, and Bai, He
    In 2023 American Control Conference (ACC) 2023
  5. Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization
    Kar, Jishnudeep, Bai, He, and Chakrabortty, Aranya
    In 2023 American Control Conference (ACC) 2023
  6. Parametrized input inference for approximate stochastic optimal control
    Syed, Shahbaz P Qadri, and Bai, He
    In 2023 American Control Conference (ACC) 2023
    PDF