Jaewan Bak - Humanoid Researcher

About Me

I am a student researcher at the Center for Humanoid Research, Korea Institute of Science and Technology (KIST). My work focuses on humanoid locomotion control using model-based techniques and reinforcement learning. I am passionate about developing innovative solutions for advanced humanoid robotics.

YouTube

Contact

Email

GitHub

YouTube

Skills

C++

MuJoCo

Optimal Control

Python

Isaac Lab

Reinforcement Learning

Experience

Student Researcher

Center for Humanoid Research, KIST | Sep 2023 – Present

Developing humanoid locomotion control algorithms using reinforcement learning and physics-based models.
Collaborating with cross-functional teams to design and implement control frameworks for bipedal robots.
Conducting simulation and experimental tests to validate humanoid robot behavior in dynamic environments.

Intern Researcher

Center for Humanoid Research, KIST | Mar 2023 – Aug 2023

Supported simulation environment development for bipedal locomotion studies.
Optimized control algorithms for humanoid robot prototypes in MuJoCo and Isaac Sim environments.

Projects

Currently under construction. Updates will be added soon.

Education

Master’s and Ph.D. in Electrical and Electronics Engineering | Korea University | Sep 2023 – Present

Bachelor of Science in Mechanical Engineering | Dongguk University | Mar 2017 – Feb 2023

Awards & Achievements

Academic Excellence
- 1st Semester, 2021: Awarded for academic excellence with a GPA of 4.08/4.5.
- 1st Semester, 2022: Awarded for academic excellence with a GPA of 4.38/4.5.
Competition Awards
- 2nd Prize: Capstone Design Value-Up Competition, Dongguk University LINC+ Program (2022).
- 1st Prize: Biped Race, Bitgoeul Robot Festival, Gwangju Metropolitan City (2015).
Research Recognition
- Outstanding Technology Award: Presented by the Director of the AI·Robot Research Division, Korea Institute of Science and Technology (KIST AIR).

Vision

My ultimate goal is to pioneer the development of teleoperated humanoid robots, inspired by the vision of advanced robotics depicted in movies like Real Steel. I strive to integrate cutting-edge technology and human-robot interaction to create machines capable of seamlessly extending human capabilities in dynamic environments.