About

Alessandro Moscatelli is a leading researcher at the intersection of human sensorimotor control and robotics, whose work seeks to unravel how the brain orchestrates manual dexterity and to embed those principles into artificial hands. His key research areas include haptic perception, motor synergies, and hierarchical control frameworks for human-in-the-loop systems. Moscatelli’s most influential contribution is his 2016 paper “Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands,” which has garnered 297 citations and serves as a foundational reference for linking neural and robotic hand control. He also identified the change in fingertip contact area as a novel proprioceptive cue (73 citations), advancing our understanding of how touch informs movement. His recent work proposes a hierarchical sensorimotor framework that models robotic control on the nervous system’s own strategies, aiming to dramatically improve the dexterity of prosthetic and robotic hands. Moscatelli’s research has been published in leading venues, and his interdisciplinary approach—spanning neuroscience, robotics, and even haptic communication in sexual medicine—demonstrates the breadth of his impact. For students and researchers, his work offers a compelling vision of how understanding human touch can unlock the next generation of intelligent, responsive artificial hands.

Research Focus

Key Achievements

8
H-Index
10
Papers
495
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands
297 citations · 2016
📈 Most Prolific Year: 2016 (4 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Bielefeld University, Università Campus Bio-Medico, University of Rome Tor Vergata, Istituti di Ricovero e Cura a Carattere Scientifico

Top Papers

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    Human and Robot Hands
    12 citations · 2016
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Key Collaborators

Contact & Links

Available for collaboration
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