Abzal Serekov
Papers
2
Total Citations
29
H-Index
2
About
Abzal Serekov is a researcher at the forefront of Brain-Computer Interfaces (BCI) and human-robot interaction, with a focus on assistive and industrial robotics. His most cited work, "Design and evaluation of a P300-ERP based BCI system for real-time control of a mobile robot" (2017, 26 citations), demonstrates a major contribution: translating neural activity into actionable commands, enabling individuals with motor disabilities to control external devices through thought alone. This system leverages P300 event-related potentials to achieve accurate, real-time robot navigation, directly addressing a critical need in assistive technology. Serekov also explores the potential of ubiquitous computing in industrial settings, as seen in "ChibiFace: A sensor-rich Android tablet-based interface for industrial robotics" (2015). This work reimagines the tablet—a device typically confined to consumer electronics—as a versatile, sensor-rich interface for human-robot collaboration, highlighting his ability to bridge everyday technology with advanced robotic control. By integrating BCI with mobile robotics and repurposing commercial hardware for specialized tasks, Serekov’s research pushes the boundaries of accessible, real-world robotic systems, making him a notable contributor to the fields of neural engineering and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2