Luigi Landini

University of Pisa

Papers

4

Total Citations

56

H-Index

3

About

Luigi Landini’s research lies at the intersection of biomedical engineering, soft robotics, and human-robot interaction, with a focus on developing safer, more intuitive technologies for medical and assistive applications. His major contribution includes pioneering computational models for soft robotic instruments interacting with cardiovascular tissues, where he demonstrated the critical role of anisotropic hyperelastic material formulations—work that has garnered 34 citations and directly informs the design of next-generation surgical robots. Landini also advanced obstacle detection for medical devices using low-quality-factor ultrasonic transducers, enabling navigation in unstructured environments. Notably, his investigation into the neural correlates of human-robot handshaking, with 10 citations, bridges engineering and neuroscience by revealing the cognitive and motor demands of physical human-robot interaction. Additionally, he developed an fMRI-compatible sensing glove for hand gesture monitoring, a tool that allows real-time neural imaging during motor tasks. With a career spanning both theoretical modeling and experimental validation, Landini’s work has shaped how soft robotics can safely interface with living tissues and how robots can be designed to interact more naturally with humans.

Research Focus

Key Achievements

3
H-Index
4
Papers
56
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Modeling biomechanical interaction between soft tissue and soft robotic instruments: importance of constitutive anisotropic hyperelastic formulations
34 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Pisa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago