Professor, Mechanical Engineering, Seoul National University

Robotic Perception · Spatial AI · Multi-modal SLAM · Physical AI

CV | Google Scholar | GitHub | RPM Lab

Best way to reach me is an email ayoungk at snu dot ac dot kr.

News

• 2026 Received the MassRobotics Rising Star in Robotics Medal
• 2026 Selected as Program Chair of RSS 2028.
• 2026 Co-editing the forthcoming SLAM Handbook (Cambridge University Press).

Current Leadership

• Director, RPM Robotics Lab
• Program Chair, RSS 2028
• Program Chair, IEEE ICRA 2030
• IEEE RAS Distinguished Lecturer (Program)
• Senior Editor, IEEE RA-L
• Associate Editor, IJRR (Dataset Track)
• Associate Editor, IEEE T-FR

Selected Honors

• MassRobotics Rising Star in Robotics Medal (2026)
• IEEE RA-L Outstanding Associate Editor Award (2020)
• KROS Young Researcher Award (2019)
• IEEE ICRA Outstanding Reviewer Award (2025)

Selected Talks & Lectures

• Keynote Speaker, IEEE ICRA 2026
• Keynote Speaker, IEEE/RSJ IROS 2022 (YouTube)
• Invited Lecture, 생각의 열쇠: 천 개의 키워드 (NAVER × 서울대학교) 네이버지식백과

Education

• Ph.D., Mechanical Engineering, University of Michigan, 2012
• M.S., Electrical Engineering, University of Michigan, 2011
• M.S., Mechanical Engineering, Seoul National University, 2007
• B.S., Mechanical Engineering, Seoul National University, 2005

Academic Appointments

• Professor, Seoul National University (2026–Present)
• Associate Professor, Seoul National University (2021–2025)
• Visiting Scholar, Robotics and AI Institute (RAI) (2025)
• Visiting Scholar, Oxford Robotics Institute (2024)
• Associate Professor, KAIST (2019–2021)
• Assistant Professor, KAIST (2014–2019)

Selected Research Outputs

• SLAM Handbook (Cambridge University Press, forthcoming): Co-Editor
• GaRLILEO (IJRR 2026): Gravity-aligned radar-leg-inertial odometry
• TherA (CVPR 2026): Thermal-aware visual-language prompting for controllable RGB-to-thermal infrared translation
• Go-RIO (ICRA 2025 Best Paper Finalist): Ground-optimized 4D radar-inertial odometry via Gaussian process
• MOANA (IJRR 2026): Multi-radar dataset for maritime odometry and autonomous navigation
• Scan Context (IROS 2018; IEEE T-RO 2022): 1,000+ citations; one of the most widely used LiDAR place recognition methods

Schedule

To make an appointment or arrange a meeting with me, please use the online schedule below. The schedules are mostly updated in real-time.

See my schedule online.

Joining RPM

We are always looking for highly motivated students interested in robotic perception, SLAM, spatial AI, and embodied intelligence.

Please read the joining guide before contacting me.