Hi, I am Minjun Chang.

I am a Ph.D. student at the RICAL and HARMONIC group at the Georgia Institute of Technology. I received my B.S. in Mechanical Engineering from Yonsei University, South Korea.

My research applies humanoid motion control to real field environments, primarily construction and hazardous manufacturing. I work on motion retargeting from worker demonstrations, and on what a demonstration should carry onto a robot built differently from a person. I also train reinforcement learning policies for tool-use and material-handling operations, and study how robots and workers share a workspace safely. My goal is to move humanoid research from laboratory demonstrations toward work a robot can sustain on site.

Take a look around for more detailed information, and please feel free to reach out — I am always open to questions.

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Education

• Georgia Institute of Technology, Atlanta, GA, USA
  • Ph.D., Civil Engineering, focus on Robotics in Construction (2025 – present)
• Yonsei University, Seoul, Republic of Korea
  • B.S., Mechanical Engineering (2019 – 2025)

Research Interests

Humanoid Motion Control, Field Robotics, Human-Robot Interaction (HRI), Reinforcement Learning

Highlights

• Federico Stubbe Graduate Student Fellowship, Georgia Institute of Technology.
• Humanoid motion retargeting for construction, presented at the IROS 2026 Workshop on the Future of Construction.
• Wearable worker motion recognition and zone-level localization, published at ISARC 2026.
• Grand Prize (1st place), National ICT Smart Device Competition, 2024, Ministry of Science and ICT.
• Grand Prize (1st place), Autonomous Robot Racing Competition, 2022, Korea Robot Society.
• Two Korean patents, on an assembly-process cart robot and a urinalysis monitoring system.
• See Achievements and Publications for the full record.