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About

Denis Shutin is a researcher specializing in construction robotics and automation, with a particular focus on mobile bricklaying robotic systems and their practical integration into the construction industry. His work addresses one of the most labor-intensive aspects of construction — masonry — by developing intelligent robotic solutions designed to replace or augment manual labor in brick and block laying operations. Shutin's most significant contributions lie in the design and optimization of mobile bricklaying robots, including trajectory planning algorithms for navigating complex construction sites, economic and technological efficiency analyses, and frameworks for evaluating robotic systems as breakthrough technologies. His 2020 paper on automated and robotic means in construction projects has attracted 11 citations, making it his most influential work, while his research on movement algorithms and efficiency factors has further solidified his standing in the field. Across his body of work, accumulating over 37 citations, Shutin consistently bridges theoretical robotics with real-world construction challenges, examining profitability, adaptability, and structural safety as key criteria for successful robotic adoption. His research provides valuable guidance for engineers, construction firms, and policymakers navigating the transition toward automated building practices.