About

Diego Torricelli is a prominent biomedical and robotics researcher whose work sits at the intersection of human movement science, wearable robotics, and neurorehabilitation. Based on a body of work that has accumulated over 1,000 citations, Torricelli has established himself as a leading voice in two complementary domains: the clinical assessment of neurological conditions and the development and benchmarking of robotic assistive technologies. His contributions to Parkinson's disease research are particularly notable, with his IMU-based gait classification study (2018, 242 citations) demonstrating how wearable inertial sensors can enable accessible, accurate clinical diagnostics. Equally influential is his systematic work on evaluating lower limb exoskeletons (2020, 215 citations), which has helped standardize how the field measures and compares these emerging technologies. His repeated focus on benchmarking methodologies — spanning humanoids, wearable robots, and human performance — reflects a broader mission to accelerate the responsible translation of robotic systems from laboratory to real-world use. Torricelli has also contributed meaningfully to hybrid rehabilitation robotics, compliant bipedal locomotion, and human-exoskeleton interaction, making his research portfolio essential reading for students and practitioners working at the frontier of rehabilitation engineering and assistive robotics.

Research Focus

Key Achievements

18
H-Index
40
Papers
1,414
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
IMU-Based Classification of Parkinson's Disease From Gait: A Sensitivity Analysis on Sensor Location and Feature Selection
242 citations · 2018
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 139
🏛 Institutions: Consejo Superior de Investigaciones Científicas, Instituto Cajal, Unidades Centrales Científico-Técnicas, Servicio de Salud de Castilla La Mancha, Centre for Automation and Robotics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago