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About

Askhat Bukeyev is a robotics researcher whose work centers on human-robot interaction, motion tracking, and real-time control systems. His most significant contribution is the development of an open-source, wearable 7-DOF wireless human arm motion-tracking system, detailed in his highly cited 2020 paper (27 citations). This system addresses a critical gap in accessible robotics research by providing a low-cost, freely available alternative to proprietary inertial motion-capture technologies, enabling broader experimentation in teleoperation and assistive robotics. Bukeyev’s earlier work (2017) on real-time predictive control of a UR5 robotic arm through human upper limb motion tracking (9 and 5 citations) laid the foundation for this innovation, demonstrating a linear explicit model predictive controller integrated with a Blender Game Engine visualization platform. By combining open-source hardware and software, Bukeyev empowers researchers and educators to explore advanced robotic control without prohibitive costs, making him a key figure in democratizing motion-tracking technology for robotics research.