BumYong Park
Papers
1
Total Citations
45
H-Index
1
About
BumYong Park is a leading researcher at the intersection of human–robot interaction (HRI) and edge artificial intelligence, with a primary focus on advancing intuitive, real-time control systems for smart manufacturing environments. His most notable contribution is the development of an EMG-based dynamic hand gesture recognition framework that leverages edge AI to process surface electromyography signals locally, enabling low-latency, privacy-preserving robot control without reliance on cloud computing. This work, published in 2023 and already cited 45 times, addresses a critical bottleneck in industrial HRI by replacing static gestures with dynamic, continuous hand movements, significantly improving both the naturalness and efficiency of operator–robot collaboration. Park’s research is distinguished by its practical orientation toward smart factory deployment, where his algorithms have demonstrated robust performance under real-world conditions. By integrating machine learning directly onto embedded devices, he has helped pioneer a new paradigm for wearable control interfaces that are both responsive and secure. His ongoing work continues to push the boundaries of how humans can seamlessly command robotic systems through intuitive, non-verbal communication.
Research Focus
Key Achievements
Top Papers
- 1