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About

Alexander Bazhanov is a robotics researcher whose work centers on the development of control systems and automation for construction and industrial robotics. His most significant contributions lie in the creation of software and diagnostic frameworks for robotic 3D-printing complexes and guided vehicles. His highest-cited paper, "Control system of robotic complex for constructions and buildings printing" (2016, 9 citations), presents a novel control solution for a gantry-type 3D printer capable of moving on rails, addressing key challenges in automated construction. Bazhanov has also advanced the field through modular control software for real-time operation of construction 3D printers, as detailed in his 2018 work (4 citations), and has developed automated monitoring and diagnostic systems for guided robotic trolleys (2019, 6 citations). Notably, his research on fuzzy behavior charts for diagnosing emergency modes in mobile industrial trolleys (2019, 2 citations) demonstrates a commitment to safety and reliability in autonomous systems. With a focused portfolio on practical, real-time control and diagnostics, Bazhanov’s work is foundational for the next generation of intelligent construction robots.