Matteo Meneghetti

University of Verona

Papers

1

Total Citations

10

H-Index

1

About

Matteo Meneghetti is a robotics researcher whose work centers on advancing force control technologies for rehabilitation and human-robot interaction. His most-cited paper, "Benchmarking Force Control Algorithms" (2021, 10 citations), addresses a critical gap in the field: the lack of standardized methods for evaluating force control performance. By proposing a comprehensive benchmarking framework, Meneghetti provides researchers and engineers with tools to systematically compare algorithms, enabling more reliable and effective robotic devices for rehabilitation. This contribution is particularly significant as force control becomes increasingly integral to medical robotics, where precision and safety are paramount. Beyond this flagship work, Meneghetti’s research explores the intersection of control theory and practical application, aiming to bridge the gap between laboratory development and clinical deployment. His efforts help lay the groundwork for more consistent performance metrics, accelerating innovation in assistive technologies. With a focus on reproducibility and real-world impact, Meneghetti’s work supports the broader adoption of force-controlled robots in healthcare, making rehabilitation more accessible and effective.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Benchmarking Force Control Algorithms
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Verona

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago