Papers
7
Total Citations
160
H-Index
6
About
Tomassino Ferrauto is a leading researcher in developmental robotics and embodied cognitive science, whose work bridges the gap between artificial intelligence, linguistics, and adaptive behavior. His primary contributions focus on how robots can acquire manipulation skills and linguistic compositionality through evolutionary and neural network-based approaches. In his highly cited 2010 paper (56 citations), Ferrauto demonstrated how a simulated humanoid robot could learn to reach, grasp, and lift objects using linguistic instructions, showcasing the facilitatory role of language in motor skill development. He further explored behavior generalization and the emergence of linguistic compositionality in evolving robot populations (30 citations), highlighting how agents can learn to execute complex commands by combining object-action pairs. Ferrauto was a key contributor to the ITALK project (25 citations), a multidisciplinary initiative integrating individual, social, and linguistic learning in robots. He also developed the FARSA open-source framework (24 citations), a powerful tool for simulating and analyzing adaptive robotic systems, enabling researchers worldwide to conduct embodied cognitive science experiments. His work has significantly advanced our understanding of how language and action intertwine in artificial and biological systems.
Research Focus
Key Achievements
Top Papers
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- 4Designing adaptive humanoid robots through the FARSA open-source framework24 citations · 2014
- 5FARSA: An Open Software Tool for Embodied Cognitive Science14 citations · 2013
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- 7FARSA: An Open Software Tool for Embodied Cognitive Science5 citations · 2013