Papers

9

Total Citations

161

H-Index

7

About

Francesco Lanotte is a leading researcher in wearable robotics, with a focus on exoskeletons and prosthetics that enhance human movement and rehabilitation. His work centers on developing adaptive control systems for assistive devices, particularly for discrete, non-rhythmic tasks such as lifting, where traditional controllers often fall short. Lanotte’s major contributions include pioneering dynamic synchronization methods for robotic exoskeletons, validated in real-world lifting scenarios, and demonstrating that a low-back exoskeleton can significantly reduce erector spinae muscle activity during symmetrical lifts—a finding with direct implications for industrial injury prevention. His research on ankle-foot prostheses and underactuated transfemoral prostheses has advanced lightweight, energy-efficient designs that restore natural gait and enable multiple locomotion tasks. With over 150 citations across his most-cited papers, Lanotte’s impact is evident in both clinical and industrial settings. He has also contributed to the broader field through reviews on gait rehabilitation and algorithms for decoding movement intention using adaptive dynamic movement primitives. His work bridges the gap between theoretical control strategies and practical, user-centered wearable technologies, making him a key figure in the future of assistive robotics.

Research Focus

Key Achievements

7
H-Index
9
Papers
161
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Control Method for Dynamic Synchronization of Wearable Robotic Assistance to Discrete Movements: Validation for Use Case of Lifting Tasks
46 citations · 2021
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Scuola Superiore Sant'Anna, Northwestern University, Center for Micro-BioRobotics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago