Filippo Cortinovis
Papers
8
Total Citations
55
H-Index
5
About
Filippo Cortinovis is a researcher advancing the frontiers of high-performance robotics, with a focus on parallel kinematic robots (PKRs) and mechatronic system design. His work bridges the gap between mechanical design and real-time control, addressing critical challenges in industrial automation. Cortinovis’s most cited paper, “Modal Kinematic Analysis of a Parallel Kinematic Robot with Low-Stiffness Transmissions” (2021, 13 citations), provides a foundational framework for understanding how transmission compliance affects robot dynamics—a key insight for high-speed applications. He has also made significant contributions to process optimization through his 2023 study on neural network mapping of industrial robot task times (10 citations), enabling real-time scheduling for non-deterministic tasks. His experimental work on inverse dynamics control for a 4-DOF 5R parallel robot (2024, 10 citations) demonstrates how advanced control algorithms can unlock superior dynamic performance in pick-and-place operations. Cortinovis’s research is notable for its practical impact: his general procedure for servo-axis design (2022, 9 citations) offers engineers a systematic approach to sizing actuators for multi-degree-of-freedom machinery under mixed loads. With recent work on MEMS-based friction identification and centralized control strategies, Cortinovis continues to push the boundaries of what industrial robots can achieve in speed, precision, and adaptability.
Research Focus
Key Achievements
Top Papers
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- 6Experimental Evaluation of Centralized Control Strategies on a 5R Robot3 citations · 2024
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