Papers

5

Total Citations

30

H-Index

3

About

Adriana Cancrini is a rising researcher at the intersection of robotics, motor control, and neurorehabilitation. Her work focuses on understanding how humans learn and adapt movements, particularly through human-robot interaction. Cancrini's major contributions include investigating the effects of robotic assistance on upper-limb muscle synergies in healthy individuals, demonstrating how external forces reshape motor coordination. She has pioneered personalized robotic therapy approaches, developing iterative algorithms to generate customized training forces that exploit neuro-adaptive control principles. Her research on error fields and three-dimensional robotic therapy offers a novel framework for designing longer-term stroke rehabilitation, moving beyond standard protocols. Cancrini has also explored the generalization of motor skills learned through isometric training to unpracticed workspaces, and developed PRISM, a method for identifying parameters of human motor learning dynamics. With her most-cited paper accumulating 17 citations and several recent works from 2025 already gaining attention, Cancrini is establishing herself as a thoughtful contributor to the science of mechanoceuticals and personalized rehabilitation. Her work promises to inform more effective, individualized robotic therapies for neurological recovery.

Research Focus

Key Achievements

3
H-Index
5
Papers
30
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training
17 citations · 2022
📈 Most Prolific Year: 2025 (4 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Fondazione Santa Lucia, Shirley Ryan AbilityLab, University of Illinois Chicago

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago