Luca Massimiliano Capisani

University of Pavia, University of Verona

Papers

24

Total Citations

856

H-Index

14

About

Luca Massimiliano Capisani is a control systems researcher whose work sits at the intersection of robotics, sliding mode control, and fault diagnosis. His most significant contributions center on the development of advanced model-based fault detection and isolation schemes for robotic manipulators, most notably leveraging higher-order and second-order sliding mode observers to identify actuator and sensor faults in real time — work that has collectively attracted over 270 citations across his two landmark diagnostic papers (2008, 2012). Capisani has also made substantial contributions to motion and interaction control, proposing trajectory planning strategies that allow manipulators to navigate unknown environments autonomously, earning 115 citations for that effort alone. His research extends to robust force control for series elastic actuators, addressing the safety-critical demands of human-robot interaction in assistive and rehabilitation robotics. On the systems identification front, he developed practical MIMO closed-loop identification procedures using weighted least squares methods, facilitating more accurate robot modeling in industrial settings. His networked control and hybrid position/force control work further demonstrates his range across both theoretical and experimental robotics. With over 700 total citations, Capisani's portfolio represents a rigorous and practically grounded body of research that continues to inform modern robot control system design.

Research Focus

Key Achievements

14
H-Index
24
Papers
856
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Manipulator Fault Diagnosis via Higher Order Sliding-Mode Observers
160 citations · 2012
📈 Most Prolific Year: 2010 (6 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Pavia, University of Verona

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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