Marcello Sanguineti
Papers
2
Total Citations
30
H-Index
2
About
Marcello Sanguineti is a leading researcher in the field of wearable robotics, with a primary focus on the design and optimization of back-support exoskeletons. His work centers on the critical challenge of actuator unit selection—specifically, the optimal pairing of electrical motors and transmissions to maximize torque control and force tracking performance. Sanguineti’s major contributions include developing systematic, optimization-based frameworks for component selection, which directly address the performance bottlenecks that limit exoskeleton effectiveness in real-world applications. His most-cited paper, “Optimal Selection of Motors and Transmissions in Back-Support Exoskeleton Applications” (2020), has garnered 24 citations, establishing a foundational methodology for improving actuator efficiency and human-robot interaction. A related 2019 study further refines these selection criteria, emphasizing the importance of precise torque tracking for natural human motion support. Sanguineti’s work is notable for bridging mechanical design and control theory, offering practical tools that accelerate the development of more responsive, reliable, and ergonomic wearable robots. His research is essential reading for engineers and students aiming to advance assistive technologies that enhance human physical capabilities.
Research Focus
Key Achievements
Top Papers
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