jessie yuan

Jessie Yuan

I am an incoming robotics Ph.D. student at Georgia Tech, where I am excited to be advised by Prof. Siddharth Karamcheti and supported by the NSF Graduate Research Fellowship. I am broadly interested in developing learning-based robotic systems that collaborate seamlessly with real people.

This spring I am graduating with a B.S. in computer science from Carnegie Mellon University, where I am fortunate to work with Prof. Andrea Bajcsy on uncertainty quantification and continual learning in VLM-based robotic policy steering. Previously, I had the pleasure of working with Prof. Zackory Erickson on developing novel interfaces for physically assistive robots.

email / cv / scholar / linkedin / twitter

Publications

	When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering Jessie Yuan, Yilin Wu, Andrea Bajcsy Under Review, 2026 arXiv / website
	WAFFLE: A Wearable Approach to Bite Timing Estimation in Robot-Assisted Feeding Akhil Padmanabha, Jessie Yuan, Tanisha Mehta, Rajat Kumar Jenamani, Eric Hu, Victoria de Léon, Anthony Wertz, Janavi Gupta, Ben Dodson, Yunting Yan, Carmel Majidi, Tapomayukh Bhattacharjee^†, Zackory Erickson^† The ACM/IEEE Conference on Human-Robot Interaction (HRI), 2026 🏆 Best Systems Paper arXiv / video / website
	VoicePilot: Harnessing LLMs as Speech Interfaces for Physically Assistive Robots Akhil Padmanabha, Jessie Yuan, Janavi Gupta, Zulekha Karachiwalla, Carmel Majidi, Henny Admoni, Zackory Erickson The ACM Symposium on User Interface Software and Technology (UIST), 2024 arXiv / video / website / oral presentation
	Towards an LLM-Based Speech Interface for Robot-Assisted Feeding Jessie Yuan, Janavi Gupta, Akhil Padmanabha, Zulekha Karachiwalla, Carmel Majidi, Henny Admoni, Zackory Erickson The ACM Symposium on User Interface Software and Technology (UIST) Adjunct, 2024 arXiv

Updated Apr. 2026. Website adapted from Jon Barron's template.