About

Massimo Sartori is a leading figure at the intersection of neural control, biomechanics, and wearable robotics, pioneering technologies that bridge the gap between human physiology and machines. His core research focuses on developing neural data-driven musculoskeletal models to create personalized neurorehabilitation technologies and intuitive human-machine interfaces. Sartori’s major contributions include the real-time neuromusculoskeletal modeling for robust myoelectric control of wrist-hand prostheses, enabling simultaneous control of multiple degrees of freedom (153 citations). He has also advanced adaptive control for soft wearable exosuits and exoskeletons, allowing patients with paresis to voluntarily drive robotic assistance via neuromechanical modeling (124 citations). His work on human-like compliant locomotion has been instrumental in informing robotic implementations (112 citations). With over 972 citations across his most-cited works, Sartori’s impact is profound. Notably, he developed MyoSim and MyoSuite, fast, physiologically realistic simulation platforms for musculoskeletal and exoskeletal studies, pushing the boundaries of motor control research. His achievements are reshaping how we design and control the next generation of assistive and rehabilitative technologies.

Research Focus

Key Achievements

20
H-Index
48
Papers
1,404
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies
182 citations · 2016
📈 Most Prolific Year: 2022 (8 Papers)
🤝 Key Collaborators: 121
🏛 Institutions: Universitätsmedizin Göttingen, University of Twente, Bernstein Center for Computational Neuroscience Göttingen, National Research Council, University of Padua, University of Göttingen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago