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Mechanical Engineering / 기계공학과
Hyondong Oh 오현동
Mechanical Engineering / 기계공학과
+82-52-217-3048
h.oh@unist.ac.kr
https://sites.google.com/site/aslunist/
Bldg. 112 Rm. 810
Curriculum Vitae
· 2019~Present: Associate Professor, Mechanical Engineering, UNIST, Korea
· 2016~Present: Visiting Research Fellow, Aero. and Automotive Eng., Loughborough University, UK
· 2016~2019: Assistant Professor, Mechanical Engineering, UNIST, Korea
· 2014~2016: Lecturer, Aero. and Automotive Eng., Loughborough University, UK
· 2013~2014: Postdoctoral Research Associate, University of Surrey, UK
· 2010~2013: Research Assistant, Cranfield University, UK
· 2008~2010: Research Assistant, KAIST, Korea
Academic Credential
· 2016: Postgraduate Certificate in Academic Practice, Loughborough University, UK
· 2013: PhD in Unmanned Autonomous Systems, Cranfield University, UK
· 2010: MSc in Mechanical and Aerospace Engineering, KAIST, Korea
· 2004: BSc in Mechanical and Aerospace Engineering, KAIST, Korea
Awards/Honors/Memberships
· Minister of Education Award, Top 50 outstanding academic and research performances(2021)
· Excellence Award, KAI Aerospace Paper Award(2021)
· Excellence Award(2nd place), Autonomous Drone Competition, DAPA and ADD(2021)
· Grand Prize, AI Competition for Space Weather Disaster Prediction, National Radio Research Agency(2019)
· Minister of Trade, Industry and Energy award(top prize), International UAV paper competition, Korea Aerospace Industries Association(2013)
To implement a fully autonomous cooperative unmanned vehicle system in a safe, timely and appropriate manner with a little or no human intervention, two aspects of unmanned vehicles need to be addressed: i) increasing the level of autonomy with high-level mission and path planning algorithm developments; and ii) improving situational awareness with sensor/information fusion techniques with domain knowledge for safer operations and better mission performance. Although vehicle dynamics and control is also an important area, our focus is on high-level planning and dynamic signal processing as they are still immature yet critical for the autonomous operation of unmanned vehicles.
Major research field
Autonomy, Unmanned vehicles, Optimization, Control, Estimation, Machine learning
Desired field of research
Multi-agent reinforcement learning, SLAM
Research Keywords and Topics
Autonomy and decision making for unmanned vehicles
Machine/Deep learning applications for unmanned vehicles
Cooperative control and path planning for unmanned vehicles
Nonlinear guidance and control
Estimation and sensor/information fusion
Research Publications
MORE· EXPERT SYSTEMS WITH APPLICATION / Distributed Swarm System with Hybrid-Flocking Control for Small Fixed-Wing UAVs: Algorithms and Flight Experiments / Song, Yeongho; Lim; Seung-han; … ; Oh, Hyondong / 2023-11
· AEROSPACE SCIENCE AND TECHNOLOGY / Autonomous Ship Deck Landing System of a Quadrotor UAV Using Feed-Forward Image-Based Visual Servoing / Cho, Gangik; Choi, Joonwon; Bae, Guensik; Oh, Hyondong / 2022-11
· EXPERT SYSTEMS WITH APPLICATION / Towards Monocular Vision-Based Autonomous Flight Through Deep Reinforcement Learning/ Kim, Minwoo; Kim, Jongyun; Jung, Minjae; Oh, Hyondong / 2022-07
· INFORMATION FUSION / Cooperative Information-Driven Source Search and Estimation for Multiple Agents / Park, Minkyu; Oh, Hyondong / 2020-02
국가과학기술표준분류
- EA. 기계
- EA05. 로봇·자동화기계
- EA0502. 로봇 제어/지능화기술
국가기술지도분류
- 정보-지식-지능화 사회 구현
- 012300. 인공지능/지능로봇 기술
녹색기술분류
- 녹색기술관련 과제 아님
- 녹색기술관련 과제 아님
- 999. 녹색기술 관련과제 아님
6T분류
- IT 분야
- 기타 정보기술
- 010411. 기타 정보기술
