Alessandro Ambrosano
Papers
4
Total Citations
142
H-Index
4
About
Alessandro Ambrosano is a leading researcher at the intersection of computational neuroscience and robotics, pioneering the integration of biologically realistic spiking neural networks with physical robotic systems. His most impactful work centers on the development of the Neurorobotics Platform, a comprehensive simulation framework that connects artificial brain models to virtual and real robots. This platform, detailed in his highly cited 2017 paper (117 citations), enables researchers to validate brain models by exposing them to dynamic sensory environments, bridging the gap between theoretical neuroscience and embodied cognition. Ambrosano’s contributions extend to implementing visual tracking and pursuit behaviors on the iCub humanoid robot, using spiking neural networks to mimic retinal color-opponency and hierarchical temporal memory for sequence prediction. His work demonstrates how neuro-inspired computing can drive robotic perception and action, with applications in autonomous systems and neural prosthetics. By combining brain simulation with physics-based robotics, Ambrosano has created a vital toolkit for studying neural computation in real-world contexts, earning recognition for advancing both fundamental understanding and technical innovation in neurorobotics.
Research Focus
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Top Papers
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