3 papers
cs.RO2026
EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
Ryan Punamiya, Simar Kareer, Zeyi Liu +37
Robot learning increasingly depends on large and diverse data, yet robot data collection remains expensive and difficult to scale. Egocentric human data offer a promising alternati…
cs.CL2026
Being Kind Isn't Always Being Safe: Diagnosing Affective Hallucination in LLMs
Sewon Kim, Jiwon Kim, Seungwoo Shin +4
Large Language Models (LLMs) are increasingly engaged in emotionally vulnerable conversations that extend beyond information seeking to moments of personal distress. As they adopt…
cs.RO2025
Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents
Sabit Hassan, Hye-Young Chung, Xiang Zhi Tan +1
When assisting people in daily tasks, robots need to accurately interpret visual cues and respond effectively in diverse safety-critical situations, such as sharp objects on the fl…