Meedeum Cho — accepted AI-conference papers

2025

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies

Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin +20

CoRL 2025oral

Comprehensive, unbiased, and comparable evaluation of modern generalist policies is uniquely challenging: existing approaches for robot benchmarking typically rely on heavy standardization, either by specifying fixed evaluation tasks and environments, or by hosting centralized "robot challenges", an…

Cited by 0 Source ↗Scholar ↗

2025

UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations

Hanjung Kim, Jaehyun Kang, Hyolim Kang, Meedeum Cho, Seon Joo Kim, Youngwoon Lee

CoRL 2025poster

Mimicry is a fundamental learning mechanism in humans, enabling individuals to learn new tasks by observing and imitating experts. However, applying this ability to robots presents significant challenges due to the inherent differences between human and robot embodiments in both their visual appeara…

Cited by 0 Source ↗Scholar ↗