DONGHO KANG

My research aims to create a legged robot that can perform natural, animal-like motion. Thus, my research interests are broad ranging to legged locomotion control, computational model of character animation and design optimization for robotics applications.

Complete CV: [PDF]


Summary

  • Education
    • Doctoral student in Computer Science at Swiss Federal Institute of Technology Zurich (ETH Zürich): Apr. 2020 – Present
    • MSc in Mechanical Engineering at Swiss Federal Institute of Technology Zurich (ETH Zürich): Sept. 2016 – Aug. 2019
    • BSc in Mechanical Engineering and Compuater Science (double major) at Seoul National University: Mar. 2009 – Aug. 2016
  • Research Experiences
    • Research Assistant at Computational Robotics Lab (Prof. Stelian Coros), ETH Zürich: Dec. 2019 – Present
    • MSc Master thesis at Robotics Systems Lab (Prof. Marco Hutter), ETH Zürich: Jan. 2019 - Aug. 2019
    • MSc Semester Project at Robotic Systems Laboratory (Prof. Marco Hutter), ETH Zürich: Sept. 2017 – Dec. 2017
    • Research Assistant at Interactive & Networked Robotics Laboratory (Prof. Dongjun Lee), Seoul National University: Sept. 2014 – Jan. 2016
  • Professional Services
    • Deep learning intern at NVIDIA Corp. (Zurich office): Jun. 2018 - Dec. 2018
    • Software engineer at LeisusreQ Inc.: Jan. 2016 – Aug. 2016
    • Hardware engineer at CNP Technology Inc.: Jan. 2012 – Mar. 2014

Selected publications

  1. Animal Motions on Legged Robots Using Nonlinear Model Predictive Control
    Kang, Dongho, De Vincenti, Flavio, Adam, Naomi C., and Coros, Stelian
    2022
  2. Nonlinear Model Predictive Control for Quadrupedal Locomotion Using Second-Order Sensitivity Analysis
    Kang, Dongho, De Vincenti, Flavio, and Coros, Stelian
    In ICRA 2022: 6th Full-Day Workshop on Legged Robots 2022
  3. Animal Gaits on Quadrupedal Robots Using Motion Matching and Model-Based Control
    Kang, Dongho, Zimmermann, Simon, and Coros, Stelian
    In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
  4. Control-Aware Design Optimization for Bio-Inspired Quadruped Robots
    De Vincenti, Flavio, Kang, Dongho, and Coros, Stelian
    In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
  5. End-to-End Collision Avoidance from Depth Input with Memory-based Deep Reinforcement Learning
    Kang, Dongho
    2019
  6. 2-D cooperative localization with omni-directional mobile robots
    Kim, Changu, Yang, Hyunsoo, Kang, Dongho, and Lee, Dongjun
    In 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2015