My research lies at the intersection of robotics, reinforcement learning, and simulation to reality. Combining physical intuition from mechanics with modern RL, I am passionate about bridging the gap between theoretical control principles and data-driven approaches.
@misc{zhu2026wirecraft,
title = {WireCraft: A Simulation Benchmark for Industrial DLO Manipulation},
author = {Chongyu Zhu and Ramy ElMallah and Hyegang Kim and Zachary Tang and Jiachen Rao and Artem Arutyunov and Seungyeon Ha and Chi-Guhn Lee},
year = {2026},
eprint = {2606.18097},
archivePrefix = {arXiv},
primaryClass = {cs.RO},
url = {https://arxiv.org/abs/2606.18097},
note = {Accepted at CoRL 2026 (Spotlight)}
}
@misc{zhu2026routerlt,
title = {Generalists Act, Specialists Intervene: Modular Stage-Selective Reinforcement Learning for Vision-Language-Action Manipulation},
author = {Chongyu Zhu and Hyegang Kim and Jaden Hinds and Juan Sebastian Rojas and Ramy Elmallah and Chi-Guhn Lee},
year = {2026},
eprint = {2609.26467},
archivePrefix = {arXiv},
primaryClass = {cs.RO},
url = {https://arxiv.org/abs/2609.26467},
note = {Extended version of the paper accepted at the IROS 2026 International Workshop on Industrial Applications of Robot Learning (IARL)}
}