Byung Hyung Kim

About

Byung Hyung Kim is a pioneering researcher at the intersection of brain-computer interfaces (BCIs) and robotics, with a focus on non-invasive neural control systems. His most influential work, "Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking" (2014, 115 citations), demonstrates a groundbreaking approach to drone piloting by combining electroencephalography (EEG) signals with eye-tracking technology. This hybrid interface enables intuitive, hands-free control of unmanned aerial vehicles, significantly advancing accessibility for users with motor impairments. Kim’s later research explores affective human-robot interaction, as seen in "Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes" (2021), where he leverages event-related EEG signals to decode user emotional states and adapt robot behavior accordingly. By enabling robots to learn from implicit neural feedback rather than explicit commands, his work paves the way for more empathetic and responsive autonomous systems. Kim’s contributions are particularly notable for their emphasis on low-cost, real-time implementations, making BCI technology more practical and scalable. His research continues to shape the future of assistive robotics and human-machine collaboration.

Research Focus

Key Achievements

Top Papers

1. 1
   Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking

   115 citations · 2014
2. 2
   Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes

   4 citations · 2021

Key Collaborators

Contact & Links