Julianna Schalkwyk Presents at RSS 2025

Georgia Tech’s Julianna Schalkwyk recently presented her team’s research at the Robotics: Science and Systems (RSS) 2025 conference, held June 21–25, 2025 in Los Angeles, California. As one of the field’s leading venues, RSS brought together top researchers to share advances shaping the future of robotics.

Schalkwyk, a Computer Science Ph.D. student with the School of Interactive Computing at Georgia Tech, working in the CORE Robotics Lab under Professor Matthew Gombolay, was a co-author on the accepted paper “Learning Interpretable Features from Interventions,” featured in the Imitation Learning II track. The research explored how robots can develop more interpretable internal features by incorporating human interventions—an important step toward safer, more transparent AI-driven robotic systems.

The paper was co-authored by Erin Hedlund-Botti, Nina Marie Moorman, Chuxuan Yang, Lakshmi Seelam, Sanne Van Waveren, Russell Perkins, Paul Robinette, and Matthew Craig Gombolay from Georgia Tech and the University of Massachusetts Lowell.

Read the paper: https://www.roboticsproceedings.org/rss21/p163.pdf