Developing capable robotic systems & understandable robot interactions

Zhao Han

Meet Zhao Han

he/him · /’jau̇-‘hän/ · 韩昭


Zhao Han is a Post-Doctoral Fellow of Computer Science at Colorado School of Mines, working with Dr. Tom Williams to further broaden his horizons.


His research lies broadly in human-robot interaction (HRI), robotics, AI, and augmented reality (AR). He focuses on designing, developing, and evaluating novel robotic systems and interactions, for embodied robots to be more capable and understandable while interacting and collaborating with humans.

To advance this work, Dr. Han takes an interdisciplinary and human-centered approach, developing broad expertise in explainable AI (robot explanations) for trust, projector-based and head-worn AR for communication, mobile manipulation for real-world evaluation, cognitive status-informed references, robot failures for robustness, and more.

Still launching his career, Dr. Han has already published over 25 peer-reviewed papers, collaborating across universities like CMU and fields like Psychology. He received the best long-paper award at INLG 2022 and the best late-breaking report third prize at HRI 2022. He also led teams to win multiple robot competitions.

He believes service is beneficial to academic life and society, fostering friendship, collaboration, and communities. Dr. Zhao Han is a Program Committee (PC) member of HRI 2023 and a General Co-Chair of the 2022 AI-HRI symposium. He has also co-organized multiple workshops and chaired paper sessions.

Recognized with a university-wide Diversity, Equity, and Inclusion (DEI) Award, Dr. Han takes action on DEI. He founded Mines Asian Community Alliance and co-organizes the Inclusive HRI Workshop. He is also active in outreach to engage under-represented groups.

With a strong DEI component, Dr. Han recently taught in Augmented Reality. Rated 4.72/5.0, students confirmed his real-world and student-focused approach. He has also mentored 25 students, including 12 underrepresented, 12 female, and three graduate students.

Dr. Han holds a Ph.D. in Computer Science from UMass Lowell in the HRI Lab, directed by AAAI Fellow Dr. Holly Yanco. Previously, he spent time in Canada and received his M.S. (advised by Dr. Carson Leung in the Database and Data Mining Lab) and B.S. degrees in Computer Science from the University of Manitoba.

  • Jan 11, 2023

    [HRI '23 LBR] Our late breaking report (LBR) "Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting" was accepted to HRI 2023! This is an important work to improve the validity of HRI study and results.

  • Dec 21, 2022

    [AR Course Evaluation] Students rated 4.72/5.0 for their learning experience in my Fall 2022 Augmented Reality (AR) course! It is consistent across all sub-scales.

  • Dec 2, 2022

    [HRI '23] Two papers were just accepted to HRI 2023, the top HRI conference!

  • Nov 28, 2022

    [AAAI '23 UG] I am a program committee member of the AAAI 2023 Undergraduate Consortium to provide critical feedback and practical early career advice to undergraduate researchers!

  • Nov 11, 2022

    [DEI workshop at HRI '23] Our HRI workshop on "Inclusive HRI II: Equity and Diversity in Design, Application, Methods, and Community" was accepted to HRI 2023!

  • Sep 25, 2022

    [HRI '23] I am on the program committee of HRI 2023 to help our community grow!

His Research


Human grasp effort is detected and the participant took the object with ease

Human-Robot Interaction
(HRI)

crop 0 0 856 1142 0 fetch large gear

Robotics

crop 0 0 1492 1765 0 Robot Failure Explanation Algorithm with Behavior Trees

Artificial Intelligence
(AI)

nav path to

Augmented Reality
(AR)


Recent Publications


Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting
Shelly Bagchi*, Patrick Holthaus, Gloria Beraldo, Emmanuel Senft, Daniel Hernández García, Zhao Han, Suresh Kumaar Jayaraman, Alessandra Rossi, Connor Esterwood, Antonio Andriella, and Paul Pridham

Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting

HRI 2023 LBR
Crossing Reality: Comparing Physical and Virtual Robot Deixis
Zhao Han*, Yifei Zhu*, Albert Phan, Fernando Sandoval Garza, Amia Castro, Tom Williams

Crossing Reality: Comparing Physical and Virtual Robot Deixis

HRI 2023
Fresh Start: Encouraging Politeness in Wakeword-Driven Human-Robot Interaction
Ruchen Wen, Alyssa Hanson, Zhao Han, Tom Williams

Fresh Start: Encouraging Politeness in Wakeword-Driven Human-Robot Interaction

HRI 2023
Proceedings of the AI-HRI Symposium at AAAI-FSS 2022
Zhao Han, Emmanuel Senft, Muneeb I. Ahmad, Shelly Bagchi, Amir Yazdani, Jason R. Wilson, Boyoung Kim, Ruchen Wen, Justin W. Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Reuth Mirsky, Ahalya Prabhakar, Megan L. Zimmerman

Proceedings of the AI-HRI Symposium at AAAI-FSS 2022

AI-HRI 2022
Communicating Missing Causal Information to Explain a Robot’s Past Behavior
Zhao Han and Holly A. Yanco

Communicating Missing Causal Information to Explain a Robot’s Past Behavior

THRI, 2022
Mixed-Reality Robot Behavior Replay: A System Implementation
Zhao Han, Tom Williams, Holly A. Yanco

Mixed-Reality Robot Behavior Replay: A System Implementation

AI-HRI 2022

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