About Jungseok

Underwater Trash Detection archive layout example Barbados Acoustics

I am a Ph.D. student in Robotics at the Department of Computer Science and Engineering and the Minnesota Robotics Institute, University of Minnesota Twin Cities and a member of IRV LAB advised by Junaed Sattar. My research endeavors have been focused on addressing “How to discover objects from unstructured enviroments using robots with a vision-based learning approach?”. My research interests include field robotics, robot vision, and computer vision. Thanks to my Electrical Engineering background, I have worked on hardware side of robots not just algorithms. Although I have mainly focused on the problems in the underwater domain, I am interested in solving any field robotic problems using vision-based approaches. Outside of my research hours, I like to be active (e.g., swim and play tennis). I am also a certified scuba diver. Check out my research projects and publications.

Recent News


2021.09 We submitted the paper ROW-SLAM: Under-Canopy Cornfield Semantic SLAM and preprint is available.

2021.08 Our TrashCAN dataset has been downloaded more than 16,000 times since its release in the last July. Check

2021.06 I presented our paper Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance in ICRA 2021.

2021.02 Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance accepted for publication in ICRA 2021. The manuscript will be updated here by the end of March.

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Released Datasets


trashcan dataset TrashCAN (2020.07)
An Instance-Segmentation Labeled Dataset of Trash Observations.
Download
trasch-icra19 dataset Trash-ICRA19 (2020.07)
A Bounding Box Labeled Dataset of Underwater Trash.
Download

Invited Talks


  • Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance, ICRA virtual presentation, 2021.
  • A Generative Approach Towards Improved Robotic Detection of Marine Litter, ICRA virtual presentation, 2020.
  • Towards the Detection and Localization of Underwater Trash by Autonomous Robotic Platforms, University of Minnesota VCAI Seminar, 2019.

Industry Experiences


2020.05-2020.08 Sentera Deep learning intern. Worked on weed identification pipeline.

Professional Services


International Journals/Conferences Reviewer

IEEE-JOE 2022
IEEE RA-L 2022
ICRA 2022, 2021, 2020
IROS 2021, 2020, 2019
CRV 2021, 2020, 2019
CRV Program Committee Member for 2021

Faculty Hiring Commitee 2020-2021

  • Student Representative, Department of Computer Science and Engineering, University of Minnesota

Selected Honors and Awards


  • UMII MnDRIVE Graduate Assistantship, University of Minnesota MnDrive, $50,000. Awarded in recognition of academic record and potential for future research productivity in Robotics, 2019
  • Summa Cum Laude, South Dakota State University (GPA: 3.96/4.0) (Top in the EE program), Dept. of EE, 2015
  • Power System Protection Scholarship, Schweitzer Engineering Lab. (SEL), $4,000. Awarded in recognition of outstanding academic and personal achievements, 2015.
  • BENNET Fellowship, South Dakota State University, $3,000. First international student recipient. Awarded to one student annually in recognition of outstanding academic and personal achievements, 2014.
  • Samsung Full Scholarship, Sung Kyun Kwan University, $40,000. Awarded in recognition of outstanding Korean SAT score and high school GPA, 2007-2015.

Quotes


Do it fast, but do it correctly.

Documentation is a Love Letter That You Write to Your Future Self. –Damian Conway