Last modified on Sep 20, 2019
SUNGGOO JUNG, PH.D. CANDIDATE
ROBOTICS RESEARCHER
KAIST C304, Daejeon, South Korea
Cell Phone: +82 10) 5798 - 8774
Email:sunggoo@kaist.ac.kr
Profile
Robotics researcher of 5+ years motivated by theory-based practical and actual development of
the robot in the real world. Strong focus on embedded software programming using C++ and
Python and developing robots with great interest in the indoor self-flying robot. Enjoys all
aspects of field robotics engineering from hardware design to software programming
Work Experience
March 2014 - Feb. 2016
Full-time Student Researcher, Korea Aerospace Research Institute (KARI), South Korea
MATLAB/SIMULINK, C/C++, CIFER
Participated 9-DOF helicopter dynamic model identification including rotor dynamics. Derived
turbo-fan aircraft engine dynamic model for electrical engine control unit (EECU). Participated
Quadrotor dynamic model identification for ultrasound based collision avoidance system.
Jan. 2019 - Sep. 2019
Affiliate Researcher, NASA JPL
C/C++, PYTHON, GAZEBO, ROS
Participated to DARPA Subterranean Challenge as a ‘Scout drone’ team member. Develop path
planning algorithm based on the occupancy grid map information from 2D LiDAR SLAM. For
indoor navigation research, various sensor systems such as IMU, GPS, LiDAR, Camera were
covered. The drone able to detect obstacle robustly using convolution neural network (CNN)
architecture and localize itself in GPS-denied environment.
Awards
•
2nd Prize DARPA Subterranean Challenge Tunnel circuit, Pittsburgh, Aug. 2019
•
1st Prize 2019 AI-Grand Challenge, Ilsan KINTEX, Jul. 2019
•
2nd Prize, 2018 IROS Indoor Drone Challenge, Oct. 2018
•
1st Prize 2017 AIRBUS Autonomous Drone Racing Competition, Seoul ADEX, Oct. 2017
•
Best Paper Award, Korea Robotics Society Annual Conference, Jan. 2017
•
1st Prize, 2016 IROS Indoor Drone Challenge, Oct. 2016
Major Publications
1. Sunggoo Jung, Sunyou Hwang, Heemin Shin, David Hyunchul Shim, “Perception, Guidance
and Navigation for Indoor Autonomous Drone Racing using Deep Learning”, IEEE Robotics
and Automation Letters (RA-L / ICRA), Vol. 3, No. 3, pp 2539-2544, July 2018
2. Sunggoo Jung, Sungwook Cho, Dasol Lee, Hanseob Lee and David Hyunchul Shim, “A Direct
Visual Servoing-based Framework for 2016 IROS Autonomous Drone Racing Challenge”,
Journal of Field Robotics: Special Issue on High Speed Vision-Based Autonomous UAVs, Vol.
35, No. 1, pp 146-166, Jan. 2018
3. Sunggoo Jung, Hanseob Lee, Sunyou Hwang, and David Hyunchul Shim. "Real Time
Embedded System Framework for Autonomous Drone Racing using Deep Learning
Techniques", 2018 AIAA Information Systems-AIAA Infotech @ Aerospace, AIAA SciTech
Forum, (AIAA 2018-2138)
4. Sunggoo Jung, David Hyunchul Shim, and Eung-Tai Kim. "Helicopter Dynamic Model
Identification by Conditional Attitude Hold Logic", AIAA Guidance, Navigation, and Control
Conference, AIAA SciTech Forum, (AIAA 2017-1251)
5. Sunggoo Jung, Hanseob Lee, David Hyunchul Shim and Ali-akbar Agha-mohammad,
“Autonomous Aerial Exploration Drones for DARPA Subterranean Challenge”, International
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