Felix Gembler
Papers
3
Total Citations
76
H-Index
3
About
Felix Gembler is a researcher specializing in brain-computer interfaces (BCIs), with a particular focus on steady-state visual evoked potential (SSVEP)-based systems and their application in assistive and remote-control technologies. His work sits at the compelling intersection of neuroscience, robotics, and human-computer interaction, exploring how brain signals can be harnessed to control real-world devices without relying on physical movement. Gembler's most influential contribution, "Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI" (2016), has garnered 53 citations and demonstrated the practical viability of using neural signals to operate a mobile robotic vehicle — a significant step forward for telepresence and assistive technology applications. Building on this foundation, he extended his research into virtual reality environments, publishing work in 2018 on controlling a vacuum cleaner robot via a VR-integrated SSVEP BCI, reflecting a forward-thinking approach to immersive interface design. His 2019 study further refined remote robotic steering using VR-based BCI systems. Collectively, Gembler's research advances the accessibility of assistive technologies for individuals with motor impairments, offering innovative pathways toward greater autonomy through the power of thought-driven control systems.
Research Focus
Key Achievements
Top Papers
- 1Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI53 citations · 2016
- 2SSVEP-Based BCI in Virtual Reality - Control of a Vacuum Cleaner Robot16 citations · 2018
- 3Remote Steering of a Mobile Robotic Car by Means of VR-Based SSVEP BCI7 citations · 2019