cv
This is a description of the CV. You can also download CV as pdf.
Basics
Name | Hanbit OH |
Label | Research Scientist |
oh.hanbit.oe9@aist.go.jp | |
Url | https://hanbit-o.github.io |
Summary | I am a dedicated robotic learning researcher and engineer for advancing the field of robotics. My work focuses on developing cutting-edge machine learning algorithms and integrating them into robotic systems to enhance their capabilities. |
Work
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2024.04 - Present Tokyo, Japan
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2021.04 - 2024.03 Nara, Japan
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2019.04 - 2021.03 Nara, Japan
Education
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2021.04 - 2024.03 Nara, Japan
Ph.D.
Nara Institute of Science and Technology (NAIST)
Doctor of Engineering
- Advisor: Prof. Takamitsu Matsubara
- Thesis: Leveraging Human Risk Sensitivity for Enriching Imitation Learning
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2019.04 - 2021.03 Nara, Japan
Master
Nara Institute of Science and Technology (NAIST)
Master of Engineering
- Advisor: Prof. Takamitsu Matsubara
- Thesis: Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot Manipulation
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2013.04 - 2019.03 Okayama, Japan
Bachelor
Okayama University
Bachelor of Engineering
- Advisor: Prof. Kentaro Hirata
- 2 years for military service (2014-2016)
Awards
- 2024.10.16
IEEE RAS Japan Chapter Young Award (IROS 2024)
IEEE Robotics and Automation Society Japan Chapter
The IEEE Robotics and Automation Society (RAS) Japan Joint Chapter, with support from the IEEE Japan Council, awards the Young Award. The purpose of this award is to nurture outstanding young researchers studying at universities in Japan.
- 2019.03
Best Student Award (岡山黒正賞)
Okayama University
The Okayama University Kokushou Award was established in honor of Professor Iwao Kokushou, who made significant contributions to the founding of Okayama University. Every year, on the day of the degree conferment ceremony, it is awarded to students who have excelled in both academics and character.
Publications
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2024.04 Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks
IEEE Robotics and Automation Letters
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2023.05 Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks
IEEE Robotics and Automation Letters
Skills
Robotic Device | |
Universal Robots UR3/5/5e | |
Robotiq 2F-85, Hand-E | |
Rethink Robotics Baxter | |
Robotis OP3, Open Manipulator-X | |
ALOHA | |
GELLO |
OS | |
Windows | |
Unix/Linux |
Programming | |
Python 2/3 | |
MATLAB | |
C/C++/C# |
Vision Sensors | |
Intel RealSense D400-series | |
XBOX KINECT V2 |
Tactile Sensors | |
GelSight DIGIT |
Software | |
Robotics (ROS, Pytorch, mujoco, VREP, etc.) | |
3D CAD and 3D printing (Fusion 360, etc.) | |
Motion capture (Optitrack, AR marker, etc.) | |
Virtual Reality (Oculus quest 1, etc.) |
Languages
Korean | |
Native speaker |
Japanese | |
Fluent |
English | |
Fluent |