Alessandro Santopaolo
Papers
2
Total Citations
8
H-Index
2
About
Alessandro Santopaolo is a robotics researcher whose work bridges the critical gap between dynamic manipulation and human safety. His primary research areas include impact-aware robotics, non-prehensile manipulation, and biomechanical risk assessment for occupational health. Santopaolo’s most notable contribution is his pioneering approach to “Impact-Friendly Object Catching at Non-Zero Velocity,” where he combines optimization and learning to enable robots to safely catch moving objects without grasping them. This work, which has garnered 5 citations, addresses a fundamental challenge in robotics: managing high-speed contact without damaging the robot or the object. By formulating the problem as a constrained Quadratic Programming task, he generates optimal pre-contact trajectories that minimize impact forces. In parallel, Santopaolo has made significant strides in ergonomics through his work on “Biomechanical Risk Assessment of Human Lifting Tasks,” which uses supervised classification of multiple sensor data to prevent work-related lower back disorders. This research, with 3 citations, directly applies machine learning to the NIOSH lifting equation, offering a data-driven tool for real-time risk assessment in industrial settings. Through these dual contributions, Santopaolo is shaping a future where robots interact more safely with their environment and humans work with reduced injury risk.
Research Focus
Key Achievements
Top Papers
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- 2