Filippo Pura

University of Applied Sciences and Arts of Southern Switzerland

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Total Citations

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About

Filippo Pura is a robotics researcher whose work sits at the intersection of human-robot collaboration, intelligent manipulation, and optimization. His key research areas include preference-based optimization for human-robot interaction, robotic grasping, and knowledge transfer in service robotics. Pura’s major contributions center on developing intuitive, human-centric optimization frameworks that allow non-expert users to improve robotic system performance through simple preference feedback, rather than complex objective functions. His work on grasping learning and optimization addresses one of service robotics’ most pressing challenges: enabling robust, versatile manipulation for everyday tasks using low-cost hardware. Notably, his 2022 paper on preference-based optimization of human-robot collaborative controllers has garnered 15 citations, demonstrating its impact on the field. Pura has also explored multi-object robotic grasping optimization with 2D cameras, showing how AI can enhance identification and localization even with limited sensing. His research is particularly valuable for advancing accessible, user-friendly robotic systems capable of operating in real-world, unstructured environments—a critical step toward widespread adoption of service robots in homes and workplaces.