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About

Kostadin Shiev is a researcher at the intersection of robotics, control systems, and human-machine interaction. His work focuses on three key areas: intuitive control of unmanned aerial vehicles (UAVs), advanced compensation techniques for robotic manipulators, and distributed control in hybrid wireless sensor networks. Shiev’s most cited paper introduces a novel gestural interface for quadrotor flight control, leveraging visual computing to enable semi-autonomous operation in GPS-denied indoor environments—a contribution that has garnered 9 citations. He has also made significant strides in trajectory control, developing adaptive Type-2 fuzzy neural network compensators to mitigate friction and disturbances in rigid robot manipulators, with his 2012 and 2016 papers earning 6 and 7 citations respectively. Additionally, his work on integrating mobile robots into wireless sensor networks has been cited 4 times, reflecting a growing interest in distributed, robotized network nodes. Shiev’s research demonstrates a commitment to enhancing autonomy and precision in robotic systems, offering practical solutions for real-world challenges in both aerial and ground-based robotics.