Gabriele Ferretti
Papers
2
Total Citations
18
H-Index
2
About
Gabriele Ferretti is a leading voice in the intersection of embodied cognition, neurorobotics, and affective neuroscience. His research centers on how emotional and social factors shape visual perception and motor action, challenging traditional models of vision-for-action. Ferretti’s major contribution lies in developing functional, biologically inspired models that integrate affective states into robotic grasping and interaction. His 2019 paper, “Can Our Robots Rely on an Emotionally Charged Vision-for-Action? An Embodied Model for Neurorobotics” (13 citations), proposes a groundbreaking framework where robots use emotional cues to guide sensorimotor decisions, moving beyond purely computational approaches. In “Affective Visuomotor Interaction: A Functional Model for Socially Competent Robot Grasping” (5 citations), he extends this work to social robotics, demonstrating how affect can enhance human-robot collaboration. Ferretti’s work bridges philosophy of mind, cognitive science, and robotics, offering a new paradigm for designing machines that perceive and act with emotional intelligence. His interdisciplinary approach has made him a key figure in debates on embodied cognition and the role of affect in artificial systems.
Research Focus
Key Achievements
Top Papers
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