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Yoonyoung Cho - KAIST IM^2

Yoonyoung Cho

I'm a Ph.D student at KAIST IM^2, where I work on developing intelligent AI algorithms for robot manipulation. Currently, my research focuses on generalizable non-prehensile robot manipulation, where a robot can manipulate general objects of arbitrary geometry to target configurations.


Github     G. Scholar     LinkedIn    

yoonyoung dot cho at kaist dot ac dot kr

CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects

Yoonyoung Cho, Junhyek Han, Yoontae Cho, Beomjoon Kim
International Conference on Learning Representations (ICLR), 2024.
Webpage  •   Github  •   PDF

Open x-embodiment: Robotic learning datasets and RT-x models

Open X-Embodiment Collaboration
International Conference on Robotics and Automation (ICRA), 2024.
Webpage  •   Github  •   Dataset  •   PDF

Optimal Hierarchical Planner for Object Search in Large Environments via Mobile Manipulation

Yoonyoung Cho, Donghoon Shin, Beomjoon Kim
International Conference on Intelligent Robots and Systems (IROS) 2022
PDF  •