Nathan Christopher Tsoi
Postdoctoral Fellow
Texas Robotics, University of Texas at Austin
I am a full-stack robotics researcher specializing in human-robot interaction and physical AI. My research connects embodiment, simulation, and coadaptation through learning-based systems that enable robots to complete tasks reliably while actively modeling latent human states (such as trust, perceived competence, comfort, and satisfaction) to positively shape human-robot interactions. Currently I am a Postdoctoral Fellow in Computer Science at UT Austin, I earned my Ph.D. in Computer Science from Yale University, where I introduced novel simulation platforms and evaluation frameworks for Human-Robot Interaction. Previously, I built AI and software systems as a Research Engineer at the Stanford AI Lab and a Senior Software Engineer at Sequoia Capital.
Education
Employment
Awards
For the work: Challenges Deploying Robots During a Pandemic: An Effort to Fight Social Isolation Among Children
For the work: SEAN: Social Environment for Autonomous Navigation
Conference and Journal Publications
* Indicates equal contributionPreprints
Teaching
Service
- Reviewer AAAI, CACM, CoRL, HRI, ICRA, IEEE RA-L, IEEE T-RO, IROS, Nature, NeurIPS, RO-MAN, T-HRI
- Co-Organizer Embodied AI Meta-alignment Workshop (AAAI-27)
- Program Committee Member The 17th Symposium on Educational Advances in Artificial Intelligence (EAAI-27, Main Track)
- Program Committee Member The 36th International Conference on Automated Planning and Scheduling (ICAPS 2026)
- Co-Organizer The 5th Workshop on Social Robot Navigation (ICRA 2026)
- Co-Organizer Advances in Social Navigation Workshop (ICRA 2025)
- Co-Organizer Unsolved Problems in Social Navigation Workshop (RSS 2024)
- Co-Organizer Social Robot Navigation: Advances and Evaluation (IROS 2023)
- Co-Organizer SEANavBench Workshop (ICRA 2022)
- Web Chair The 18th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2023)
- Graduate Representative Department Climate & Diversity Committee (2023)