Kwangwoon University
Robotics & A.I. Lab.
We conduct foundational and applied research in robotics to enable reliable autonomy in complex, dynamic environments.
Research Highlights
All Publications
Featured
Uncertainty-calibrated Hamilton-Jacobi value learning for safe crowd navigation
We combine pedestrian prediction, learned Hamilton-Jacobi reachability, and conformal uncertainty calibration within MPC to enable efficient and reliable navigation in dense and out-of-distribution crowds.
Safe Navigation
HJ Reachability
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Featured
Mechanical design of a giant human riding biped humanoid robot, Method II
This paper presents the mechanical design of a human-ridable giant humanoid robot that enables intuitive, pilot-in-the-loop whole-body control.
Humanoid Robot
Mechanical Design
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Featured
Dynamic prioritization and adaptive path planning for indoor multi-object navigation
We propose a multi-object navigation method that dynamically selects target order and plans efficient paths in cluttered indoor environments.
Path Planning
Multi-object Navigation
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Recent News
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Aug 2026
Paper accepted to IEEE RA-L on safe crowd navigation.
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Aug 2026
Prof. Oh will serve as Associate Editor for ICRA 2027.
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Jul 2026
Four papers accepted to ICCAS 2026.
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May 2026
Paper accepted to ASCC on multi-robot navigation with time-varying obstacles.
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Mar 2026
Yeonjin Kim and Anwari Anggra joined the lab as MS students.
Open Positions
We are recruiting motivated students passionate about robotics and AI.
Openings
- Graduate admissions for the Spring 2027 semester are now open for advanced research applicants.
- Undergraduate research positions are open year-round for hands-on robotics and AI experience.
Contact: jhyunoh (at) kw.ac.kr
Contact