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Vladimir I. Salikhov is a leading researcher at the intersection of robotics, control systems, and cyber-physical production, with a primary focus on advancing Industry 4.0 through human-free automation. His most impactful work, "Human-free robotic automation of industrial operations" (17 citations), resulted from a university-industry collaboration between ITMO University and Thermex, pioneering the reduction of the human factor in production by organizing fully autonomous cyber-physical systems. Salikhov has also made significant contributions to adaptive control theory, notably in "Adaptive Multisinusoidal Signal Tracking System with Input Delay" (13 citations), where he addressed the challenging problem of tracking unknown signals under known time delays—a critical capability for precision manufacturing. His practical influence extends to robotics education through "Manipulation Tasks in Robotics Education" (7 citations), which forms the laboratory backbone of ITMO's master's program in Control Methods for Robotic Applications. In his 2018 case study on human-free water heater production (4 citations), Salikhov demonstrated the integration of three distinct articulated robots (Mitsubishi, KUKA, and Kawasaki) within a unified MATLAB-based control software center, showcasing his ability to bridge theoretical control design with real-world industrial implementation. His work consistently emphasizes the elimination of human intervention from hazardous or repetitive tasks, positioning him as a key figure in the transition toward fully autonomous manufacturing ecosystems.