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V.V. Dolinenko is a leading researcher in robotic welding and non-destructive testing, with a focus on adaptive systems for complex geometries. Their major contributions include developing a robotic system for eddy-current testing of complex-shaped products (11 citations, 2017), which enables precise defect detection in challenging industrial components. Dolinenko also pioneered adaptive robotic arc surfacing for restoring complex spatial metal parts (3 citations, 2020), advancing repair technologies for high-value machinery. Their work on robotic and mechanized welding under disturbing factor conditions (10 citations, 2016) demonstrates how to maintain weld quality despite external disturbances like vibration or misalignment—a critical challenge for automated manufacturing. This research has been published in The Paton Welding Journal and Automatic Welding, key outlets for welding science. With a career spanning foundational studies in adaptive control and sensor integration, Dolinenko’s contributions directly support industries requiring reliable, automated welding and inspection of intricate parts, from aerospace to heavy machinery. Their work bridges theoretical control methods with practical robotic implementations, making them a valuable reference for engineers and researchers developing resilient, intelligent manufacturing systems.