About Jungseok
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
2022.02 I started Research Internship at Samsung AI Center New York.
2022.01 Using Monocular Vision and Human Body Priors for AUVs to Autonomously Approach Divers accepted for publication in ICRA 2022.
2022.01 ROW-SLAM: Under-Canopy Cornfield Semantic SLAM accepted for publication in ICRA 2022.
2021.12 I passed my Ph.D. proposal exam.
2021.11 I won the 2nd place award by presenting our paper Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance at the 21st KOCSEA Technical Symposium, University of Nevada, Las Vegas.
2021.11 Our TrashCAN dataset has been downloaded more than 17,000 times since its release in the last July. Check
Released Datasets
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TrashCAN (2020.07) An Instance-Segmentation Labeled Dataset of Trash Observations. Download |
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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
- Received 2nd place award at the 21st Korean Computer Scientists and Engineers Association in America (KOCSEA) Technical Symposium, University of Nevada, Las Vegas, November 6-7, 2021.
- 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