Aleksey Yakushev

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About

Aleksey Yakushev is a robotics researcher specializing in intelligent control systems, with a particular focus on fuzzy logic algorithms for mobile robot navigation and computer vision. His work centers on developing autonomous navigation solutions that enable robots to perceive and move through their environments effectively. Yakushev's most influential paper, "Fuzzy algorithm of a mobile robot's motion" (2016, 13 citations), presents three versions of a fuzzy control system for a mobile robot built on the Pirate 4WD platform, utilizing Arduino microprocessors for real-time decision-making. He further advanced this research by exploring stereovision systems, where he developed a fuzzy-logical method for constructing depth maps using a modified sum of absolute differences algorithm to measure distances and calculate optimal turning angles for obstacle avoidance. In his analysis of fuzzy implication models for mobile robot control, Yakushev compared Mamdani, product, drastic product, and algebraic sum approaches, demonstrating that specific fuzzy inference methods yield superior simulation results. His contributions bridge theoretical fuzzy logic with practical robotics applications, offering accessible solutions for autonomous navigation that can be implemented on affordable, widely-available hardware platforms.