Yaohui Guo
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Yaohui Guo |
Education
University of Michigan, Ann Arbor, MI
Ph.D. in Industrial and Operations Engineering, 2019 - present
Thesis advisors: Professors X. Jessie Yang and Cong Shi
M.S. in Mathematics, 2021
M.S. in Robotics, 2018
Xi'an Jiaotong University, China
B.S. in Mechanical Engineering and Automation, 2015
Publications
Book Chapters
From Trust to Trust dynamics: Combining Empirical and Computational Approaches to Model and Predict Trust Dynamics in Human-Autonomy Interaction,
X. J. Yang, Y. Guo, C. Schemanske,
Human-Automation Interaction: Transportation, edited by V. G. Duffy, S. J. Landry, J. D. Lee, N. Stanton, Springer, New York, NY
Journal Publications
Reverse Psychology in Trust-Aware Human-Robot Interaction,
Y. Guo, C. Shi, X. J. Yang,
IEEE Robotics and Automation Letters, Vol. 6(3), 4851-4858, 2021 (presented at ICRA 2021).
Modeling and Predicting Trust Dynamics in Human-Robot Teaming: A Bayesian Inference Approach,
Y. Guo, X. J. Yang,
International Journal of Social Robotics, Vol. 13, 1899-1909, 2021.
Conference Proceedings
Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction,
Y. Guo, X. J. Yang, C. Shi,
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, Detroit, MI.
Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams,
Y. Guo, X. J. Yang, C. Shi,
2023 Robotics: Science and Systems, RSS 2023, Daegu, Korea.
Modeling Multi-vehicle Interaction Scenarios Using Gaussian Random Field,
Y. Guo, V. V. Kalidindi, M. Arief, W. Wang, J. Zhu, H. Peng, D. Zhao,
2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, Auckland, New Zealand
A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods,
Z. Huang, Y. Guo, M. Arief, H. Lam, D. Zhao,
2018 Annual American Control Conference, ACC 2018, Milwaukee, WI.
Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles,
X. Gong, Y. Guo, Y. Feng, J. Sun, D. Zhao,
2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018, Maui, HI.
TrafficNet: An Open Naturalistic Driving Scenario Library,
D. Zhao, Y. Guo, Y. J. Jia,
2017 IEEE Intelligent Transportation Systems Conference, ITSC 2017, Yokohama, Japan.
Working Papers and Papers Under Revision
Trust Propagation in Multi-Human Operator Multi-Autonomous Agent (MOMA) Teams,
Y. Guo, J. B. Lyons, C. Shi, X. J. Yang,
Under review.
Multi-Human Multi-Robot Online Teaming,
Y. Guo, X. J. Yang, C. Shi,
Under review.
Trust Prediction in Multi-Human Multi-Robot Agent Teams via Trust Propagation,
Y. Guo, X. J. Yang, C. Shi,
Submitted (invited paper), Autonomous Robots.
Short Papers & Abstracts
TIP: A Trust Inference and Propagation Model in Multi-Human Multi-Robot Teams,
Y. Guo, X. J. Yang, C. Shi,
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023, Stockholm, Sweden.
Modeling Trust Dynamics in Human-robot Teaming: A Bayesian Inference Approach,
Y. Guo, C. Zhang, X. J. Yang,
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, HI.
Teaching
Instructor, IOE 201 - Economic Decision Making, Fall 2023, University of Michigan.
Teaching Assistant, ME 24677 - Linear Control System, Fall 2018, Carnegie Mellon University.
Awards
Rackham Predoctoral Fellowship, University of Michigan, 2022
Rackham Graduate Student Research Grant, University of Michigan, 2022
Dean and Engineering Graduate Fellowship, University of Michigan, 2019
Outstanding Graduate, Xi'an Jiaotong University, 2015
1st Prize, National Undergraduate Mathematics Competition, Chinese Mathematical Society, 2014
National Scholarships, Xi'an Jiaotong University, 2013, 2014
SMC Scholarship, Xi'an Jiaotong University, 2014
1st Prize, National Undergraduate Mathematical Contest in Modeling, CSIAM, 2014