Federico Spinelli
Papers
2
Total Citations
36
H-Index
2
About
Federico Spinelli is a researcher whose work bridges robotics and rehabilitation, with key contributions in tactile exploration and cost-effective healthcare technologies. His most cited paper, "GPAtlasRRT: A Local Tactile Exploration Planner for Recovering the Shape of Novel Objects" (2018, 22 citations), introduces a method enabling robots to complete partial shape models through local tactile exploration—constraining the finger to follow the local surface for contiguous shape recovery. This work advances robotic perception by enhancing how machines interact with unknown objects through touch. Spinelli also addresses real-world healthcare challenges in "Cost analysis of technological vs. conventional upper limb rehabilitation for patients with neurological disorders: an Italian real-world data case study" (2024, 14 citations). This study demonstrates that robotic and technological rehabilitation can be a feasible, cost-effective alternative to conventional methods for patients with upper limb dysfunction, offering insights into optimizing care for neurological disorders. His research impacts both robotics and clinical practice, with notable achievements in developing practical solutions for shape recovery and rehabilitation economics. Spinelli’s work is valuable for students and researchers interested in tactile sensing, rehabilitation robotics, and healthcare technology implementation.
Research Focus
Key Achievements
Top Papers
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