Seonwoo Kim

Engineering the Future of Robotics

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Expertise

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Robot Control

Hydraulic & electric manipulator control design and analysis.

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State Estimation

Adaptive Kalman filters, Bayesian neural networks for force estimation.

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AI Integration

Machine learning models for trajectory planning and sensor fusion.

Education

Whimoon Middle School — (2011–2014)
Whimoon High School — (2014–2017)
Korea University — BS in Mechanical Engineering (2017–2023)
Korea University — MS in Mechanical Engineering (2023–2025)

Awards

MATLAB Korea AI Competition for University Students — Bronze Award 2023 (Team Leader)

Projects

Project 1

Autonomous Excavator Trajectory Generation

Aug 2023 – Oct 2024

Designed AI-based model for excavator trajectory planning using LSTM.
Implemented TCP/IP & CAN communication for control integration.
Processed terrain data via vision depth camera for input.

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Project 2

6-DOF Blade Control for Autonomous Motor Grader

Jan 2024 – Present

Developed 6-DOF pose estimation algorithm for grader blade.
Integrated real-time TCP/IP & CAN protocols for feedback control.
Validated performance in simulated and field environments.

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Publications

Acceleration Measurement-Free Dissipative Disturbance Observer for Robotic Manipulators

IEEE Robotics and Automation Letters, 2025

Seonwoo Kim, Chanwoo Kim, Yeonho Ko, Daehie Hong

DOI: 10.1109/LRA.2025.3564205

Task Space End-Effector Contact Force Estimation for Robotic Manipulators Using a Bayesian-Augmented Interacting Multiple Model-Based Disturbance Kalman Filter

IEEE Transactions on Instrumentation & Measurement (Under Review)

Seonwoo Kim, Myeongin Jin, Jihoon Kim, Chanwoo Kim, Daehie Hong

Get in Touch

Feel free to reach out for collaboration or inquiries.

Email: whimoon1826@naver.com

Phone: +82 10-5002-7397