Cognitive Autonomy:
Human-Machine Interaction and Teaming
Mission
The objective of this research is a new architecture for modeling, prediction, and control of cyber-physical systems with a human in the loop, that is highly responsive to the human, yet maintains safety, reliability, and high performance.
Supported by NSF CNS-1836952
Research Topics
Shared Control
Data-driven Human Modeling and Reachability Analysis
Human-Autonomy Teaming
Koopman Operator-based Approach
Human behavior modeling
Shared control for human operator training
Inverse optimal control
Human subject experiments
Publications
S. Byeon, W. Jin, D. Sun and I. Hwang, "Human-Automation Interaction for Assisting Novices to Emulate Experts by Inferring Task Objective Functions," 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 2021, pp. 1-6, doi: 10.1109/DASC52595.2021.9594324. [Student Paper Awards Finalist]
S. Byeon, D. Sun and I. Hwang, "Skill-level-based Hybrid Shared Control for Human-Automation Systems*," 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp. 1507-1512, doi: 10.1109/SMC52423.2021.9658994.
D. Sun and I. Hwang, 2022. "On Controlled Mode Discernibility for Nonlinear Hybrid Systems with Unknown Exogenous Input," Automatica, 2022, 142: 110339, doi: 10.1016/j.automatica.2022.110339.
S. Byeon, D. Sun, and I. Hwang, "Human Behavior Modeling via Identification of Task Objective and Variability," Submitted to IEEE Transactions on Human-Machine Systems.
S. G. Clarke, S. Byeon and I. Hwang, "A Low Complexity Approach to Model-Free Stochastic Inverse Linear Quadratic Control," in IEEE Access, vol. 10, pp. 9298-9308, 2022, doi: 10.1109/ACCESS.2022.3144933.
J. Choi, S. Byeon, and I. Hwang, “State Prediction of Human-in-the-Loop Multi-rotor System with Stochastic Human Behavior Model,” 4th IFAC Workshop on Cyber-Physical Human Systems, Houston, Texas, December 1-2, 2022, doi: 10.1016/j.ifacol.2023.01.113.
S. Byeon, J. Choi, Y. Zhang, and I. Hwang, “Stochastic-Skill-Level-Based Shared Control for Human Training in Urban Air Mobility Scenario,” ACM Transactions on Human-Robot Interaction, 2023, doi: 10.1145/3603194.
O. Thapliyaland and I. Hwang, “Approximating Reachable Sets for Neural Network-Based Models in Real Time via Optimal Control,” IEEE Transactions on Control Systems Technology, 2023, doi: 10.1109/TCST.2023.3234248.
S. Byeon, D. Sun, and I. Hwang, “An Inverse Optimal Control Approach for Learning and Reproducing Under Uncertainties,” IEEE Control Systems Letters, 2023, doi: 10.1109/LCSYS.2022.3226882.
J. Choi, S. Byeon, and I. Hwang, “Data-driven Forward Stochastic Reachability Analysis for Human-in-the-Loop Systems,” 62nd IEEE Conference on Decision and Control, 2023, doi: 10.1109/CDC49753.2023.10383447.
J. Choi, H. Park, and I. Hwang, “Bootstrapped Gaussian Mixture Model-Based Data-Driven Forward Stochastic Reachability Analysis,” IEEE Control Systems Letters, 2023, doi: 10.1109/LCSYS.2023.3347188.
S. Byeon, J. Choi, and I. Hwang, “A Computational Framework for Optimal Adaptive Function Allo-cation in a Human-Autonomy Teaming Scenario,” IEEE Open Journal of Control Systems, 2023, doi: 10.1109/OJCSYS.2023.3340034.
C. Yang, J. Choi, S. Anandavel, and I. Hwang, “Reachability Analysis of Human-in-the-Loop Systems Using Gaussian Mixture Model with Side Information,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2024, Accepted
J. Choi, S. Byeon, and I. Hwang, “Data-Driven Closed-Loop Reachability Analysis for Nonlinear Human-in-the-Loop Systems Using Gaussian Mixture Model,” Submitted to IEEE Transactions on Control Systems Technology, Under Revision
S. Byeon, D. Tian, J. Ayoub, M. Song, E. M. Pari, and I. Hwang, “Optimal Function and Attention Allocation for Human-AI Collaboration using Computational Cognition-Work Model,” Submitted to 63rd IEEE Conference on Decision and Control, Under Review
J. Choi, M. Cho, H. Park, V. Vishnu, and I. Hwang, “On The Controllability Preservation of Koopman Bilinear Surrogate Model,” Submitted to 63rd IEEE Conference on Decision and Control, Under Review
S. Byeon, M. Yuh, J. Choi, N. Jain, and I. Hwang, “Function Allocation Assessment in Human-Autonomy Teaming Using Workload Metrics from Heart Rate Sensor,” Submitted to 2025 American Institute of Aeronautics and Astronautics (AIAA) SciTech, Under Review
J. Choi, J. Hunter, I. Hwang, and T. Reid, “Distraction-aware Data-driven Hybrid Reachability Analysis of Cyber-Physical-Human Systems Using Functional Near-infrared Spectroscopy,” Submitted to 2025 American Institute of Aeronautics and Astronautics (AIAA) SciTech, Under Review
People
Suriyan Anandavel
Hsin-Ying Lin
Sponsor and Collaboration
NSF CPS Frontier: Cognitive Autonomy for Human CPS (learn more). From 2019 to present (2022)
