Carol Sergenti

University of Pavia

Papers

3

Total Citations

7

H-Index

2

About

Carol Sergenti is a rising researcher at the intersection of rehabilitation engineering, human-robot interaction, and immersive simulation technologies. Her work focuses on developing cutting-edge robotic platforms and sensor systems to enhance both physical rehabilitation and sports training. Sergenti’s major contributions include pioneering the analysis of cross-talk effects in parallel kinematic machines for rehabilitation therapies, a study that has garnered 4 citations and highlights the critical challenges in translating robotic assistance into safe, effective clinical tools. She has also advanced real-time biomechanical measurement by integrating stereo cameras with deep learning to estimate human body inertia, a model-dependency analysis that earned 2 citations and promises to refine personalized rehabilitation protocols. Notably, Sergenti is the lead designer of **Hexalab**, a novel facility that embodies the Human-In-The-Loop concept, combining virtual reality, robotic platforms, and high-tech sensors to create immersive sport simulations. This work, with 1 citation, positions her at the forefront of next-generation training environments. With a clear trajectory toward bridging robotics, AI, and human physiology, Sergenti’s research is poised to transform how we recover from injury and optimize athletic performance.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Analysis of cross-talk effects in a parallel kinematic machine for rehabilitation therapies
4 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Pavia

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago