Papers
67
Total Citations
2,083
H-Index
24
About
Giuseppe Casalino is a pioneering robotics researcher whose work spans more than three decades, with transformative contributions across robot learning control, autonomous underwater systems, and human-robot collaboration. His 1988 landmark paper on iterative learning control for robotic manipulators — now cited 369 times — established foundational theoretical principles for improving trajectory accuracy in nonlinear robotic systems, cementing his early influence on control theory. Casalino subsequently became a leading figure in marine robotics, contributing to the AMADEUS project (131 citations), which produced one of the first dexterous underwater robotic hands capable of deep-sea sampling. His involvement in the European TRIDENT project further advanced autonomous underwater intervention, demonstrating how robotic systems could independently execute complex subsea manipulation tasks. A 2019 survey on underwater robots from ROVs to autonomous intervention vehicles (245 citations) reflects his comprehensive command of the field's evolution. In recent years, Casalino has extended his expertise into human-robot cooperation, developing the FlexHRC+ hierarchical architecture to enable collaborative robots greater autonomy in dynamic manufacturing environments. With over 1,200 cumulative citations across diverse robotics domains, his career exemplifies rare interdisciplinary breadth and sustained scientific impact.
Research Focus
Key Achievements
Top Papers
- 1On the iterative learning control theory for robotic manipulators369 citations · 1988
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- 3AMADEUS: advanced manipulation for deep underwater sampling131 citations · 1997
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- 5A Hierarchical Architecture for Human–Robot Cooperation Processes74 citations · 2021
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- 8Flexible human–robot cooperation models for assisted shop-floor tasks65 citations · 2018
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