Byeongguk Jeon — Papers on Cortexa

arxivcs.RO2026-07-01

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation

Byeongguk Jeon, Seonghyeon Ye, JaeHyeok Doo, Sungdong Kim, Minjoon Seo, Hyungmok Son, et al.

Video world models are emerging as a scalable alternative for evaluating generalist robot policies, bypassing the physical constraints and engineering burdens of real-world deployment. However, evaluating policies with video world models remains challenging, as world-model errors…

View free PDFSource page

arxivcs.RO2026-06-30

HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation

Jaehwi Song, Suchae Jeong, Byeongguk Jeon, Sungdong Kim, Minjoon Seo, Hyungmok Son, et al.

Large-scale demonstration datasets have been central to recent progress in general-purpose robot policies. However, existing datasets are collected in human-absent settings, and policies trained on such data may perform tasks competently in isolation but fail to exhibit human-awa…

View free PDFSource page