Silvio P. Sabatini
Papers
12
Total Citations
127
H-Index
8
About
Silvio P. Sabatini is a prominent researcher at the intersection of computational neuroscience, robotic vision, and biologically inspired systems, with particular expertise in binocular vision, stereo perception, and humanoid robot control. His work centers on translating principles from human visual neuroscience into functional robotic architectures, enabling machines to perceive and interact with three-dimensional environments in ways that mirror biological systems. Among his most significant contributions is the development of neuromorphic and neuromimetic control models for vergence eye movements, implemented on platforms such as the iCub humanoid robot. His distributed disparity representation frameworks — drawing on cortical models of V1 complex cells — have advanced the field's understanding of how binocular coordination can be achieved without explicit disparity computation. His hierarchical system for peripersonal space representation (26 citations) and virtual reality simulation tools for active stereo vision (18 citations) further demonstrate his range across both theoretical modeling and practical robotics. Sabatini has also made notable contributions to log-polar mapping techniques and motion interpretation, reflecting a sustained commitment to bio-inspired sensory processing. With works accumulating citations across robotics, neural modeling, and computer vision communities, his research provides foundational tools for researchers developing next-generation autonomous and perceptually capable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A VIRTUAL REALITY SIMULATOR FOR ACTIVE STEREO VISION SYSTEMS18 citations · 2009
- 3LEARNING EYE VERGENCE CONTROL FROM A DISTRIBUTED DISPARITY REPRESENTATION15 citations · 2010
- 4
- 5A Portable Bio-Inspired Architecture for Efficient Robotic Vergence Control10 citations · 2016
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- 9
- 10Vector Disparity Sensor with Vergence Control for Active Vision Systems6 citations · 2012