About
Ye-Ji Mun
I am a Ph.D. candidate at the University of Illinois Urbana-Champaign (UIUC) in the Electrical and Computer Engineering department. Prior to joining UIUC, I received my B.S. in Electronics Engineering at Ewha Womans University, Seoul, South Korea in 2018. My research interest is in robot planning, perception, machine learning, human-robot interaction, and active inference.
Education & Experience
Education
Ph.D. in Electrical & Computer Engineering
2019 - current
University of Illinois Urbana-Champaign, Illinois, United States
Academic Advisor : Prof. Katherine Driggs-Campbell
Bachelor Science in Electronics Engineering
2014 - 2018
Ewha Womans University, Seoul, South Korea
Exchange student in Electrical Engineering
Spring 2016
Temple University, Philadelphia, USA
Exchange student in Electrical Engineering
Fall 2015
San Diego State University, San Diego, USA
Research Experience
Human Centered Autonomy Lab, Research Assistant
Aug.2019 - Present
University of Illinois Urbana-Champaign, Illinois, United States
Information Coding and Processing Lab, Research Assistant
Oct.2017 - June 2019
Ewha Womans University, Seoul, South Korea
Work Experience
Honda Research Institute, Research Intern
May - Aug. 2024
San Jose, CA, United States
Research
Learning Task Skills and Goals Simultaneously from Physical Interaction
CASE 2023 [Paper]
Robot Experience
GEM e2 & e4
Turtlebot 2i
UR5e
Kinova Gen3
Teaching
- ECE484:Principle of Safe Autonomy (TA): University of Illinois Urbana-Champaign, Fall 2023 - Spring 2024
- Samsung Dream Class Middle School (Tutor): Siheung, South Korea, Fall 2016
- Korean Elementary Class (TA): San Diego State University, Fall 2015
Honor
- Kwanjeong Overseas Scholarship: Seoul, South Korea, 2019 - 2023
- ICRA Travel Grant: IEEE, 2023
- Global Young Scientist Summit Participant: Singapore, 2023
- Excellent Student Scholarship: Ewha Womans University, 2014-2015, 2017
- WeTech Qualcomm Global Scholars Program: Seoul, South Korea, 2017
- Qualcomm Scholarship Program: Seoul, South Korea, 2015
Publication
Preprints
[1] Hierarchical Intention Tracking with Switching Trees for Real-Time Adaptation to Dynamic Human Intentions during Collaboration
ArXiv, 2025
Z. Huang*,Y.-J. Mun*, F. C. Pouria, and K. Driggs-Campbell (*equal contribution)
[2] A Unified Framework for Robots that Influence Humans over Long-Term Interaction
ArXiv, 2025
S. Sagheb, S. Parekh, R. Pandya, Y.-J. Mun, K. Driggs-Campbell, A. Bajcsy, and D. P. Losey
[3] User-Friendly Safety Monitoring System for Manufacturing Cobots
ArXiv, 2023
Y.-J. Mun, Z. Huang, H. Chen, Y. Niu, Ha. You, D. L. McPherson, and K. Driggs-Campbell
Conference Papers
[1] Occlusion-Aware Crowd Navigation Using People as Sensors
International Conference on Robotics and Automation (ICRA), IEEE 2023
Y.-J. Mun, M. Itkina, S. Liu, and K. Driggs-Campbell
[2] Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Task
International Conference on Robotics and Automation (ICRA), IEEE 2023
Z. Huang*,Y.-J. Mun*, X. Li, Y. Xie, N. Zhong, W. Liang, J. Geng, T. Chen, and K. Driggs-Campbell (*equal contribution)
[3] Towards Robots that Influence Humans over Long-Term Interaction
International Conference on Robotics and Automation (ICRA), IEEE 2023
S. Sagheb, Y.-J. Mun, N. Ahmadian, B. A. Christie, A. Bajcsy, K. Driggs-Campbell, and D. P. Losey
[4] Learning Task Skills and Goals Simultaneously from Physical Interaction
International Conference on Automation Science and Engineering (CASE), IEEE 2023
H. Chen*,Y.-J. Mun*, Z. Huang, Y. Niu, Y. Xie, D. L. McPherson, and K. Driggs-Campbell (*equal contribution)
[5] Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks
International Conference on Automation Science and Engineering (CASE), IEEE 2023
Z. Huang,Y.-J. Mun, H. Chen, X. Li, Y. Xie, N. Zhong,, Y. Niu, X. Li, N. Zhong, H. You, D. L. McPherson, and K. Driggs-Campbell
[6] Specifying Target Objects in Robot Teleoperation Using Speech and Natural Eye Gaze
International Conference on Humanoid Robots (Humanoids), IEEE 2023.
Y.-C. Chang, N. Gandi, K. Shin, Y.-J. Mun, K. Driggs-Campbell, and J. Kim
[7] Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration
International Conference on Automation Science and Engineering (CASE), IEEE, 2022
Z. Huang*Y.-J. Mun*, X. Li, Y. Xie, N. Zhong, W. Liang, J. Geng, T. Chen, and K. Driggs-Campbell (*equal contribution)
[8] Multi-agent variational occlusion inference using people as sensors
International Conference on Robotics and Automation (ICRA), IEEE 2022
M. Itkina, Y.-J. Mun, K. Driggs-Campbell, and M. J. Kochenderfer
[9][Oral] Correcting misclassified image features with convolutional coding
In Proceedings of the Korean Society of Broadcast Engineers Conference (pp. 11-14)
Mun, Y. J., Kim, N., Lee, J., and Kang, J. W.
Journal
[1] Ensemble of Random Binary Output Encoding for Adversarial Robustness
IEEE Access, 7, 124632-124640.
Mun, Y. J. and Kang, J. W.
Workshops
[1] Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration
Cobots and WotF, International Conference on Robotics and Automation (ICRA), IEEE, 2022
1. T. Chen, Z. Huang, J. Motes, J. Geng, Q. M. Ta, H. Dinkel, H. Abdul-Rashid, J. Myers, Y.-J. Mun, W. Lin, Y. Huang, S. Liu, M. Morales, N. M. Amato, K. Driggs-Campbell, and T. Bretl
[2] Occlusion-aware crowd navigation using people as sensors
16th Women in Machine Learning Workshop (WiML), NeurIPS 2021
Y.-J. Mun, M. Itkina, and K. Driggs-Campbell
[3] Multi-agent variational occlusion inference using people as sensors
Bay Area Robotics Symposium (BARS), 2021
M. Itkina, Y.-J. Mun, and K. Driggs-Campbell
[4] Safe crowd navigation in the presence of occlusions
15th Women in Machine Learning Workshop (WiML), NeurIPS 2020
Y.-J. Mun,, M. Itkina, and K. Driggs-Campbell
[5] Variational occlusion inference using people as sensors
15th Women in Machine Learning Workshop (WiML), NeurIPS 2020
M. Itkina, Y.-J. Mun, and K. Driggs-Campbell