Bum Yong Park
Papers
2
Total Citations
7
H-Index
2
About
Bum Yong Park is a robotics researcher focused on advancing industrial automation through intelligent control systems and edge computing. His primary research areas include robot operating systems (ROS), embedded control architectures, and safety-critical human-robot interaction. Park's most cited work, "Edge AI-driven Multi-camera System for Adaptive Robot Speed Control in Safety-critical Environments" (2025, 4 citations), introduces a novel framework that leverages edge-based artificial intelligence and multi-camera perception to dynamically adjust robot speed in real-time, significantly enhancing safety in collaborative workspaces. His earlier foundational paper, "ROS based Embedded System using a Joystick for Industrial Robots Remote Control" (2021, 3 citations), addresses the growing demand for smart factory automation by proposing an embedded system that uses a joystick for intuitive industrial robot control. This work integrates inverse kinematics and ROS communication to translate joystick commands into feasible joint angles, enabling precise remote operation. Park's contributions are particularly notable for bridging the gap between theoretical control algorithms and practical embedded implementations, offering scalable solutions for Industry 4.0 environments. His research has direct implications for improving both the safety and efficiency of human-robot collaboration in manufacturing settings.
Research Focus
Key Achievements
Top Papers
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- 2