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About

Anton Yu. Tolstonogov is a robotics researcher whose work centers on autonomous underwater vehicles (AUVs), marine robotics, and intelligent systems for ocean applications. Based at a leading Russian research institution, Tolstonogov has made significant contributions to the design and deployment of underwater robotic complexes, particularly for practical maritime challenges such as biofouling removal and hull inspection. His most impactful work focuses on laser-based cleaning systems integrated into underwater robots, with his 2019 and 2020 papers on biofouling removal garnering 24 and 25 citations respectively — demonstrating strong engagement from the marine engineering and robotics communities. These contributions address a pressing real-world problem: maintaining vessel efficiency through automated, diver-independent hull maintenance that complies with Russian Maritime Register of Shipping standards. Beyond cleaning systems, Tolstonogov has advanced AUV control methodologies, notably through thrust allocation algorithms accommodating variable constraints, and has contributed to aquatic environmental monitoring via robotic platforms with variable buoyancy systems. His 2021 work on semantic image compression for low-bandwidth acoustic communication reflects his growing interest in intelligent data handling for intervention-class AUVs. Together, his research establishes him as a versatile contributor to the expanding field of marine robotics.