Papers
33
Total Citations
505
H-Index
14
About
Guido Schillaci’s research lies at the intersection of cognitive robotics, developmental psychology, and artificial intelligence, where he investigates how robots can develop a sense of self and social cognition through embodied interaction. His major contributions center on understanding how artificial agents can acquire body representations, a sense of agency, and the ability to distinguish self-generated actions from those of others—core components of what he terms the “artificial self.” Schillaci’s work on exploration behaviors and intrinsic motivation has been particularly influential, with his 2016 paper on exploration and cognitive development accumulating 67 citations. He has pioneered the use of deep neural networks to model sense of agency and object permanence in robots, and his research on saliency detection and attention manipulation in human-robot interaction (54 citations) has advanced intuitive human-robot collaboration. Notable achievements include developing computational models for tool-use learning in humanoid robots and creating architectures for curiosity-driven exploration in high-dimensional sensory spaces, such as microfarming robots. His work bridges neuroscience and robotics, offering foundational insights into how machines can develop the cognitive prerequisites for self-awareness and social interaction.
Research Focus
Key Achievements
Top Papers
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- 3Prerequisites for an Artificial Self33 citations · 2020
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- 5Random movement strategies in self-exploration for a humanoid robot25 citations · 2011
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- 9An adaptive probabilistic approach to goal-level imitation learning18 citations · 2010
- 10How do I sound like? forward models for robot ego-noise prediction18 citations · 2016