2 papers
cs.AI2026
PREFAB: PREFerence-based Affective Modeling for Low-Budget Self-Annotation
Jaeyoung Moon, Youjin Choi, Yucheon Park +3
Self-annotation is the gold standard for collecting affective state labels in affective computing. Existing methods typically rely on full annotation, requiring users to continuous…
cs.RO2025
A Humanoid Visual-Tactile-Action Dataset for Contact-Rich Manipulation
Eunju Kwon, Seungwon Oh, In-Chang Baek +5
Contact-rich manipulation has become increasingly important in robot learning. However, previous studies on robot learning datasets have focused on rigid objects and underrepresent…