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About

Ilya Tyapin is a robotics researcher whose work spans industrial robot machining, autonomous systems, and sustainable manufacturing applications. His research has made significant contributions to improving the precision and capability of robotic systems in demanding real-world environments. Tyapin is perhaps best known for his pioneering work on robotic machining, where he developed methods for off-line path correction and vibration reduction during robotic face milling — addressing the persistent challenge of tool deflection in industrial robots. His stiffness estimation techniques and static tool force models laid important groundwork for high-precision robotic manufacturing, collectively attracting nearly 150 citations across multiple studies. More recently, his focus has expanded into autonomous systems for the circular economy. His most-cited paper (97 citations) introduced an autonomous task planner for disassembling electric vehicle battery packs — a timely contribution as the world grapples with lithium-ion battery recycling at scale. He has also explored flexible manipulator dynamics, geometric algebra-based inverse kinematics, multi-sensor fusion for autonomous maritime mooring, and AI-driven robotic textile sorting. Across these diverse domains, Tyapin consistently bridges theoretical modeling with practical implementation, making his work valuable to both academic researchers and industrial practitioners seeking smarter, more capable robotic solutions.