Bongsub Song

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Research Portfolio of Bongsub Song, Ph.D. Researcher at ETRI specializing in Robotics, Reinforcement Learning and Field Robotics.

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Development of Control Algorithms for Performance Evaluation and Functional Testing of Sampling Manipulators in Unmanned Ground Vehicles

Funded by: KAERI (Korea Atomic Energy Research Institute)
Period: 2022 – 2023
Keywords: Manipulator control, UGV, Functional testing, Ground sampling


Overview

This project developed control algorithms for a sampling manipulator mounted on an Unmanned Ground Vehicle (UGV), targeting performance evaluation and functional testing in field-deployable conditions. The system is intended for ground sample collection in environments inaccessible or hazardous to humans.


Key Contributions


System Design

Manipulator Configuration


Control Algorithm


Functional Testing & Results

Motion Sequence Validation

Performance Data


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Last updated: April 2026