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  • SNU AI
  • Seoul, South Korea

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seongwon980/README.md

Seongwon Cho

Hello, World! πŸ‘‹

I am an M.S. student at Seoul National University. My research focuses on vision-language-action (VLA) models for robotics, with the goal of enabling robust and adaptive robot behavior in dynamic, continuously changing environments.

Previously, my research focused on:

  • Continual learning under distribution and concept shifts.
  • Generative model–based adaptation and data synthesis for online and low-resource learning settings.
  • Video understanding and temporal reasoning.

The areas I am currently exploring include:

  • Vision-language-action models for open-vocabulary mobile manipulation, enabling robots to understand and execute diverse natural language commands.
  • Adaptive and uncertainty-aware robot learning, allowing agents to adjust perception and action policies under distribution shifts.
  • Self-evolving robot agents that continuously improve their capabilities through long-term interaction with the environment.

πŸ“« How to reach me: Feel free to contact me at seongwoncho@snu.ac.kr if you’d like to collaborate on research or if you have any questions.

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