Luca Massimiliano Capisani
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
Top Papers
- 1Manipulator Fault Diagnosis via Higher Order Sliding-Mode Observers160 citations · 2012
- 2Fault Detection for Robot Manipulators via Second-Order Sliding Modes116 citations · 2008
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- 4MIMO Closed Loop Identification of an Industrial Robot95 citations · 2010
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- 6Robust Force Control of Series Elastic Actuators59 citations · 2014
- 7Second order sliding mode motion control of rigid robot manipulators48 citations · 2007
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