Gaia Fiore
Papers
1
Total Citations
90
H-Index
1
About
Gaia Fiore is a leading researcher in robotic manipulation, with a primary focus on autonomous grasping using anthropomorphic soft hands. Her work bridges machine learning and soft robotics to create data-driven systems that enable robots to learn dexterous, human-like grasping strategies. Fiore’s most cited paper, “Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands” (2019, 90 citations), introduces a novel framework that leverages human demonstration to train soft robotic hands. This architecture allows robots to adaptively interact with objects and environments, significantly improving grasping robustness and ease of use. Her contributions have advanced the practical deployment of soft hands in unstructured settings, reducing the need for complex programming. Fiore’s research is widely recognized for its impact on human-robot interaction and assistive robotics, with her work cited across engineering and artificial intelligence fields. She continues to shape the future of autonomous manipulation, making robots more intuitive and effective in real-world applications.
Research Focus
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Top Papers
- 1