Max Robotics — Global Service Robot Directory + US Certification

About

Gleb A. Urvanov is a researcher at the intersection of assistive robotics, brain-computer interfaces (BCIs), and cloud computing. His primary contributions lie in developing alternative control systems for disabled individuals, particularly through extended BCI frameworks for robotic wheelchairs. His most cited work, “The Control System Based on Extended BCI for a Robotic Wheelchair” (2018, 52 citations), addresses a critical need for patients with severe motor impairments who cannot use traditional joystick controls, proposing a novel BCI-based alternative. Urvanov has also explored the integration of cloud computing architectures into mobile robotics (2015, 21 citations), demonstrating how cloud paradigms can enhance robotic capabilities. Additionally, his research into the influence of emotional states on BCI performance (2016, 12 citations) and methods for detecting operator emotions to improve robotic control reliability (2016, 7 citations) highlights his innovative approach to human-robot interaction. His work on a framework for evaluating robotic navigation algorithms (2017) further underscores his commitment to practical, scalable solutions. With a focus on making robotic assistance more accessible and intuitive, Urvanov’s research has significant implications for rehabilitation engineering and autonomous systems.