Young-Chae Son

Welcome! I'm Young-Chae Son, a Ph.D. researcher at Dongguk University’s Interactive Robotics Lab, supervised by Prof. Soochul Lim.

My research is centered on Physical AI, specifically focusing on building embodied foundation models that bridge high-level reasoning with low-level robotic control. I develop Vision-Language-Action (VLA) frameworks that integrate multimodal signals—such as visual, thermal, and physical interaction data—to enable robots to perform complex tasks in dynamic, real-world environments.

Currently, I am investigating task-aware selective perception and autonomous planning to improve the efficiency and generalizability of robotic manipulation. This site contains my research projects, publications, and academic profile.

Email  /  CV  /  Scholar  /  Github

Research

I'm interested in computer vision, vision-language models, and robotic planning. Most of my research is about inferring the physical world and thermal awareness for robotic decision-making.

Robot task automation framework based on large language models (LLMs) that utilizes both visual and physical information.

Development of a Nonmagnetic Pneumatic Stepper Motor for the Automatic Evaluation of Magnetic Field Uniformity in Helmholtz Coils.

Temperature-Aware Framework for Robotic Perception and Decision-Making

A dynamic information fusion framework that selectively processes only task-relevant camera views.

Experience & Activities

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