Rolly Intan
Papers
1
Total Citations
6
H-Index
1
About
Rolly Intan is a researcher at the forefront of brain-computer interface (BCI) technology, with a primary focus on translating neural signals into practical control systems. His most cited work, "Brain Computer Interface for Controlling RC-Car Using Emotiv Epoc+" (2018, 6 citations), demonstrates a pioneering approach to non-invasive BCI by integrating an Emotiv Epoc+ EEG headset with a Wi-Fi-enabled microcontroller (ESP8266 Wemos D1) to remotely navigate a mobile robot. This project showcases his ability to bridge complex neurophysiological data with accessible hardware, enabling real-time remote commands for robotic navigation. Intan's contributions lie in making BCI systems more tangible and applicable to everyday devices, reducing the barrier between human thought and machine action. His work has implications for assistive technologies, rehabilitation, and human-robot interaction, highlighting the potential for EEG-based control in real-world environments. By combining signal processing, embedded systems, and wireless communication, Intan has laid groundwork for future innovations in low-cost, portable BCI applications, inspiring students and researchers to explore the intersection of neuroscience and engineering.
Research Focus
Key Achievements
Top Papers
- 1Brain Computer Interface for Controlling RC-Car Using Emotiv Epoc+6 citations · 2018