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The goal of my research is to broaden the skill set of legged robots and enhance their ability to generate natural and agile behaviors by integrating advanced control strategies with data-driven character animation techniques.

Basics

Name Dongho Kang
Email dkang (at) rai-inst.com
Url https://donghokang.net/
Summary Research scientist at the RAI institute.

Work

  • 2025 - Present
    Reserach scientist
    Robotics and AI Institute
  • 2019 - 2025
    Scientific assistant
    Computational Robotics Lab, ETH Zurich
    Supervisor: Prof. Stelian Coros
    • Research topic: control algorithms for bio-inspired quadrupedal robots with natural and animal-like motion.
  • 2018.06 - 2018.12
    Deep learning intern
    NVIDIA Corp, Zurich, Switzerland
    • Project: Super-resolution and anti-aliasing algorithms for DLSS.

Education

  • 2020 - 2025
    PhD
    ETH Zurich, Zurich, Switzerland
    Computer science
  • 2016 - 2019
    MSc
    ETH Zurich, Zurich, Switzerland
    Mechanical engineering
  • 2009 - 2016
    BSc
    Seoul National University, Seoul, South Korea
    Mechanical engineering and computer science (double major)

Skills

Programming and Software
C/C++
Python
Unix/Linux
Pytorch
ROS
Open Dynamics Engine
IsaacSim
Experience with Robots
UnitreeRobotics A1, Aliengo, Go1, Go2, B2, G1
ANYbotics ANYmal

Languages

Korean
Native speaker
English
Fluent

Interests

Legged Robotics
Model-based Optimal Control
Reinforcement Learning
Charater Animation
Physics-based Charater Animation
Data-driven Character Animation

References

Prof. Dr. Stelian Coros
Associate Professor in the Department of Computer Science, ETH Zurich.
Prof. Dr. Marco Hutter
Professor in the Department of Mechanical and Process Engineering, ETH Zurich.
Prof. Dr. Dongjun Lee
Professor in the Mechanical Engineering, Seoul National University.