Christian Finetto
Papers
2
Total Citations
34
H-Index
2
About
Christian Finetto’s research bridges the fields of manufacturing optimization and robotic neurorehabilitation, demonstrating a rare versatility in engineering and human motor control. His early work focused on production systems, notably developing a mixed-model sequencing optimization for fully flexible assembly systems (F-FAS), a contribution that has garnered 21 citations and advanced efficiency in automated manufacturing. More recently, Finetto has turned to the intersection of robotics and neuroscience, investigating how exposure to viscous force fields alters muscle coordination patterns. This study, cited 13 times, is rooted in the premise that robotic neurorehabilitation can promote motor recovery after neurological injury by leveraging principles of motor learning. By quantifying changes in muscle coordination, his work provides critical insights for designing rehabilitation protocols that restore lost function. Finetto’s ability to apply rigorous optimization and biomechanical analysis across such distinct domains highlights his impact as a researcher, with his findings informing both industrial automation and clinical rehabilitation strategies. His contributions underscore a commitment to solving complex problems where engineering meets human physiology, offering valuable pathways for future research in adaptive systems and therapeutic robotics.
Research Focus
Key Achievements
Top Papers
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- 2