Huiwon Jeong

Aspiring AI Researcher

Robotics • Vision-Language-Action Models • Generative Models

I’m interested in how vision, language, and generative modeling can help robots learn useful behavior in the physical world.

Explore my work

About

About me.

I’m an incoming M.S. student in Artificial Intelligence at UNIST.

My main interests are robotics, Vision-Language-Action models, and generative models. In particular, I want to understand how robots can learn generalizable behaviors from multimodal data and remain reliable over long-horizon tasks.

Starting September 2026: M.S. in Artificial Intelligence at Ulsan National Institute of Science and Technology (UNIST).

  • Robotics
  • Vision-Language-Action Models
  • Generative Models
  • Embodied Intelligence

News

Recent updates.

Incoming M.S. student at UNIST

Starting my M.S. in Artificial Intelligence at Ulsan National Institute of Science and Technology (UNIST) in September 2026.

Research

Research interests.

Robotics

Intelligent systems that perceive, reason, and interact with dynamic physical environments.

Vision-Language-Action Models

Connecting visual understanding and language reasoning to grounded robot control.

Generative Models

Learning expressive distributions over observations, plans, and actions for embodied systems.

Robot Manipulation

Generalizable skills for precise, adaptive, and dexterous object interaction.

World Models

Predictive representations that support planning, imagination, and data-efficient robot learning.

Projects

Selected work.

A mobile manipulator facing a dining table in the table-bussing simulation environment Simulation

Robotics · Simulation

Table-Bussing Benchmark

Designed and implemented a simulation framework for table-bussing tasks using Isaac Sim and OmniGibson during my internship at ETRI.

Publications

Publications.

2026

Korean Robotics Society Annual Conference (KRoC) · Poster

PostMealGen: Generating Human-Like Post-Meal Table Scenes through Behavioral Awareness

Huiwon Jeong, Youngjae Yoo

A method for generating post-meal table scenes that reflect human behavioral tendencies.

Experience

Education & experience.

Education

M.S. in Artificial Intelligence

Ulsan National Institute of Science and Technology (UNIST)

Incoming graduate student. Research group and advisor information will be updated after enrollment.

Research

Research Intern

Social Robotics Research Lab · Electronics and Telecommunications Research Institute (ETRI)

Developed simulation environments for table-bussing tasks using Isaac Sim and OmniGibson.

Education

B.S. in Computer Science

Myongji College · GPA 3.89/4.5

Contact

Get in touch.

I’m happy to talk about robotics, VLA models, generative models, and graduate research.

huiwonjeong0116@gmail.com