About

I am an engineering student studying robotics in Zurich, Switzerland.

My research interest is sim-to-real robot learning using simulation and deep reinforcement learning. I am passionate to build an efficient simulation tool and to design effective reinforcement learning algorithms that can reliably train visuomotor policies while ensuring a good transferability.

저는 스위스 취리히에서 로보틱스를 공부하고 있는 석사 학생입니다.

저는 "sim-to-real" 로봇 학습과 deep reinforcement learning 을 공부하고 있습니다. 특히 저는 로봇의 visuomotor policy 학습을 위한 사실적이고 효율적인 시뮬레이션 툴의 개발과 실제로봇으로의 transferability 를 보장하는 학습 알고리즘 연구에 관심을 가지고 있습니다.

My curriculum vitae is here. 자세한 이력은 여기를 참고해주세요.

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Summary of CV

• Education
  • MSc at Swiss Federal Institute of Technology Zurich (ETH Zürich): 2016 – Present
  • BSc at Seoul National University: 2009 – 2016
• Research Experiences
  • MSc Master thesis at Robotics Systems Laboratory (Prof. Marco Hutter), ETH Zürich: Jan. 2019 - Present
  • Research Assistant at Robotic Systems Laboratory (Prof. Marco Hutter), ETH Zürich: Feb. 2018 – Jun. 2018
  • MSc Semester Project at Robotic Systems Laboratory (Prof. Marco Hutter), ETH Zürich: Sept. 2017 – Dec. 2016
  • Research Assistant at Interactive & Networked Robotics Laboratory (Prof. Dongjun Lee), Seoul National University: 2014 – 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
• 학력
  • 취리히연방공과대학 (ETH Zürich) 공학 석사: 2016 - 현재
  • 서울대학교 공학 학사: 2009 – 2016
• 연구경험
  • 석사 논문 취리히연방공과대학 (ETH Zürich) Robotics Systems Lab (마르코 후터 교수): 2019.1 - 현재
  • 연구보조 취리히연방공과대학 (ETH Zürich) Robotic Systems Lab (마르코 후터 교수): 2018.2 – 2018.6
  • 석사 학기 프로젝트 취리히연방공과대학 (ETH Zürich) Robotic Systems Lab (마르코 후터 교수): 2017.9 – 2017.12
  • 연구인턴 서울대학교 인터랙티브/네트워크 로보틱스 연구실 (이동준 교수): 2014 – 2016
• 경력
  • 딥러닝 인턴 (주) 엔비디아 (취리히 오피스): 2018.6 - 2018.12
  • 하드웨어 엔지니어 (주)씨엔피테크: 2012.1 – 2014.3
  • 소프트웨어 엔지니어 (주)레저큐: 2016.1 – 2016.8

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List of courses

ETH Zürich 2016 -

• Robot Dynamics by M. Hutter, R. Siegwart and T. Stastny
• Vision Algorithms for Mobile Robotics by D. Scaramuzza
• Programming for Robotics - Introduction to ROS by M. Hutter
• Autonomous Mobile Robots by R. Siegwart, M. Chli and M. Rufli
• Dynamic Programming and Optimal Control by R. D'Andrea
• Recursive Estimation by R. D'Andrea
• Linear System Theory by M. Kamgarpour
• Probabilistic Artificial Intelligence by S. Tschiatschek
• Learning and Intelligent System by G. Rätsch and T. Hofmann
• Visualization, Simulation and Interaction - Virtual Reality I by A. Kunz
• Embedded Control System by J. S. Freudenberg and M. Schmid Daners
• Machine Learning by J. M. Buhmann
• Deep Learning by T. Hofmann

Seoul National University 2009 - 2016

• Dynamics by Kyujin Cho
• System Analysis in Mechanical and Aerospace Engineering by Kyujin Cho
• Introduction to Robotics by Frank Chongwoo Park
• Principles of Flight Vehicle Control by H. Jin Kim
• Algorithm by Sun Kim
• Operating System by Byung-Gon Chun
• Computer Architecture by B. Egger
• Basic Digital Signal Processing by Soonhoi Ha
• Electrical and Electronic Circuits by Soonhoi Ha