Papers
77
Total Citations
938
H-Index
18
About
Heikki Handroos is a distinguished researcher whose work spans robotics, hydraulic systems, advanced control theory, and artificial intelligence applications in engineering. Based at the intersection of theoretical innovation and industrial application, Handroos has made significant contributions to state estimation, fault-tolerant control, and robotic systems for demanding environments. His development of adaptive Kalman filtering techniques — including the adaptive square-root unscented Kalman filter (53 citations) and fuzzy-based parameter optimization approaches (25 citations) — has advanced the precision of hydraulic actuator state estimation. His work on active fault-tolerant control for robotic manipulators (51 citations) demonstrates a strong commitment to system robustness and operational reliability under faulty conditions. Notably, Handroos has contributed extensively to robotics for extreme environments, including pioneering water hydraulic welding and machining robots for the ITER nuclear fusion vessel project, reflecting collaborations at the frontier of nuclear engineering. His survey on AI in welding (43 citations) underscores his broader vision for technology's transformative societal impact. With research also encompassing soft robotics, nonlinear sliding mode control, and evolutionary optimization algorithms, Handroos represents a uniquely versatile voice in modern mechatronics and intelligent systems research.
Research Focus
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Top Papers
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