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<!DOCTYPE HTML>
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<title>Gyeonghun Kim</title>
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<p style="text-align:center"><name>Gyeonghun Kim</name></p>
<p>I am an undergraduate student at <b>Seoul National University</b> majoring in Electrical and Computer Engineering (ECE). My research interests lie at the intersection of <b>Robot Learning</b> and <b>Physical AI</b>, specifically focusing on how agents can learn complex manipulation tasks in unstructured environments.
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<p style="text-align:center">
<a href="mailto:kgh011016@snu.ac.kr">Email</a> /
<a href="data/CV.pdf">CV</a> /
<a href="https://scholar.google.com/">Google Scholar</a> /
<a href="https://github.com/kimhuni">Github</a> /
<a href="www.linkedin.com/in/ghkim-space">LinkedIn</a>
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<h2>Research Focus</h2>
<p>
My goal is to build robots that can perceive and interact with the physical world as robustly as humans do. I am currently exploring <b>Vision-Language Models (VLMs)</b> for robotic control and <b>Reinforcement Learning</b> under physical constraints.
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<h2>Publications</h2>
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<a href="#"><span class="papertitle">Learning Physical Interaction via Vision-Language Models</span></a>
<br>
<strong>Gyeonghun Kim</strong>, Co-author 1, Co-author 2
<br>
<em>Under Review / ICRA 2026</em>
<br>
<a href="#">project page</a> / <a href="#">arXiv</a> / <a href="#">video</a>
<p>Integrating high-level semantic reasoning with low-level motor control for agile robotics.</p>
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<h2>Projects</h2>
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<a href="#"><span class="papertitle">Open-Source Robot Arm Controller</span></a>
<br>
<em>Personal Project, 2025</em>
<br>
<a href="#">Github</a>
<p>Developed a custom PID-based controller for a 6-DOF robotic arm using Python and Arduino.</p>
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