jessie yuan

Jessie Yuan

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

I recently graduated with a B.S. in computer science from Carnegie Mellon University. While there, I worked with Andrea Bajcsy on uncertainty quantification and continual learning in VLM-based robotic policy steering. I also worked with 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 Robotics: Science and Systems (RSS), 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 September 2026. Website adapted from Jon Barron's template.