Sebastian Volkl

Papers

Total Citations

H-Index

About

Sebastian Völkl is a pioneering researcher at the intersection of open-source hardware, neuroscience, and robotics. His primary research areas include brain-computer interfaces (BCIs), low-cost EEG signal processing, and accessible neurotechnology. Völkl’s major contribution lies in democratizing BCI research through the development of PiEEG, an open-source shield board for Raspberry Pi that enables real-time EEG signal acquisition and processing. His most cited work, "Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG" (2022), demonstrates a complete pipeline from reading neural signals—decomposed via Fourier series—to controlling robotic actuators, all on affordable single-board computers. This breakthrough significantly lowers the barrier to entry for BCI experimentation, making it accessible to students, hobbyists, and researchers without expensive proprietary equipment. While his citation count (2) reflects the nascent stage of this work, the practical impact is substantial: PiEEG has been adopted by makers and labs worldwide for prototyping neural interfaces. Völkl’s achievement lies not in high citation metrics, but in creating a replicable, open framework that empowers a new generation of neurotechnology innovators.