Haonan Chen

I am a Ph.D. candidate in ECE at the University of Illinois Urbana-Champaign. My research interests focus on learning structured models for robotic manipulation. I am fortunate to be advised by Katie Driggs-Campbell and work closely with Yunzhu Li.

I have conducted extensive research in pushing new capabilities for robotics using machine learning.

Email  /  CV  /  Google Scholar  

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Research

My research focuses on robotic manipulation, imitation learning, and human-robot interaction. I develop algorithms that enable robots to learn from human demonstrations and improve their manipulation skills in complex environments.

Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models
H. Chen, J. Xu*, L. Sheng*, T. Ji, S. Liu, Y. Li, K. Driggs-Campbell
Under Review, 2024
Cooperative Advisory Residual Policies for Congestion Mitigation
A. Hasan, N. Chakraborty, H. Chen, J.-H. Cho, C. Wu, K. Driggs-Campbell
ACM Journal on Autonomous Transportation Systems (JATS), 2024
pdf
Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards real-time Advisory Systems through a Focus Group User Study
A. Hasan, N. Chakraborty, H. Chen, J.-H. Cho, C. Wu, K. Driggs-Campbell
Under Review, 2024
pdf
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
H. Chen, Y. Niu*, K. Hong*, S. Liu, Y. Wang, Y. Li, K. Driggs-Campbell
Conference on Robot Learning (CoRL), 2023
Project & Video / pdf

Finalist - Best Paper/Best Student Paper Awards
Towards Safety of Multi-Level Human-Robot Interaction in Industrial Tasks
Z. Huang, Y. Mun, H. Chen, Y. Xie, Y. Niu, X. Li, N. Zhong, H. You, D.L. McPherson, K. Driggs-Campbell
IEEE Conference on Automation Science and Engineering (CASE), Special Session on Cyberphysical Manufacturing Networks, 2023
Learning Task Skills and Goals Simultaneously from Physical Interaction
H. Chen*, Y. Mun*, Z. Huang, Y. Niu, Y. Xie, D.L. McPherson, K. Driggs-Campbell
IEEE Conference on Automation Science and Engineering (CASE), Special Session on Cyberphysical Manufacturing Networks, 2023
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems
A. Hasan, N. Chakraborty*, H. Chen*, J-H. Cho, C. Wu, K. Driggs-Campbell
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023
PDF / Website

Best Presentation Award at CSLSC 2024
Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation
H. Chen, T. Ji, S. Liu, K. Driggs-Campbell
IEEE International Conference on Intelligent Transportation Systems (ITSC 2022)
PDF
Learning to Navigate Intersections with Unsupervised Driver Trait Inference
S. Liu, P. Chang, H. Chen, N. Chakraborty, K. Driggs-Campbell
IEEE International Conference on Robotics and Automation (ICRA), 2022
PDF / Website / Video
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control
P. Chang, S. Liu, H. Chen, K. Driggs-Campbell
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
PDF / Video

Awards and Honors

  • Conference Travel Award, Graduate College, University of Illinois Urbana-Champaign 2023
  • Finalist - Best Paper/Best Student Paper Awards, Conference on Robot Learning 2023
  • Bronze Tablet Award, University of Illinois Urbana-Champaign 2020
  • Excellent Graduate, Zhejiang University 2020
  • Student Speaker at Graduation, ZJU-UIUC Institute 2020
  • Provincial Government Scholarship, Zhejiang Province, China (Top 3%) 2019
  • Dean's List, University of Illinois Urbana-Champaign 2019
  • National Scholarship, China (Top 1.8%) 2018
  • Excellent Undergraduate Scholarship, Zhejiang University (Top 3%) 2018-2019
  • Academic Excellence Scholarship Award, ZJU-UIUC Institute 2017-2019
  • Top Ten Social Practice, Zhejiang University (Top 1.5%) 2017

Service and Leadership

Professional Service

  • Session Chair:
    • CASE - IEEE Conference on Automation Science and Engineering, 2023
  • Reviewer:
    • CoRL - Conference on Robot Learning
    • ICRA - IEEE International Conference on Robotics and Automation
    • ITSC - IEEE International Conference on Intelligent Transportation Systems
    • CASE - IEEE Conference on Automation Science and Engineering

Extra-Curricular Service

Founding Team Leader, Robotic Team for RoboMaster Challenge, ZJU-UIUC Institute 10/2017 - 06/2018


Thanks Jon Barron for this amazing template.