2025
Learning Interpretable Features from Interventions
Erin Hedlund-Botti, Julianna Schalkwyk, Nina Marie Moorman, Chuxuan Yang, Lakshmi Seelam, Sanne Van Waveren +3
RSS 2025poster
The behavior of in-home robots must be adaptable to end-users to adequately address individual users’ needs and preferences. Learning from Demonstration (LfD) is a common approach for customizing robot behavior, enabling non-expert users to teach robots how to perform tasks according to their prefer…