S. A. Kulabukhov

Papers

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About

S. A. Kulabukhov is a researcher specializing in robotics, fuzzy logic control, and computer vision systems. His work focuses on enabling mobile robots to navigate and interact with their environments intelligently, particularly through obstacle avoidance and spatial perception. A key contribution is his development of a fuzzy control system for robot angular attitude, which models motor control to determine rotary traverses during obstacle avoidance, as detailed in his 2016 paper (12 citations). He has also advanced stereovision techniques, proposing a fuzzy-logical method for constructing depth maps using a modified sum of absolute differences (SAD) algorithm, enabling accurate distance measurement and rotation angle calculation for mobile robot navigation (2018, 4 citations). Kulabukhov’s research integrates fuzzy logic with sensor-based control and video processing, offering practical solutions for autonomous navigation in uncertain environments. His work demonstrates a commitment to bridging theoretical fuzzy systems with real-world robotic applications, contributing to the broader field of intelligent robotics.