Papers
8
Total Citations
183
H-Index
6
About
Ugo Albanese is a pioneering researcher at the intersection of neurorobotics, computational neuroscience, and embodied intelligence. His work centers on bridging the gap between biologically realistic brain models and physical robotic systems, with a particular focus on spiking neural networks (SNNs) and their integration into dynamic, sensor-rich environments. Albanese’s most impactful contribution is the development of the Neurorobotics Platform (NRP), a comprehensive simulation framework that connects artificial brains to both virtual and real robots—a cornerstone achievement with over 117 citations. He has also advanced adaptive control strategies for quadruped locomotion, combining evolutionary and adaptive methods to overcome high-dimensional control challenges. Notably, Albanese explored emotion as an emergent property of neurocomputational energy regulation in decision-making, offering a novel perspective on cognitive agency. His work on embodied simulations, including a distributed cortico-basal ganglia-cerebellar-thalamic model running on the supercomputer Fugaku, demonstrates his commitment to large-scale, cross-disciplinary research. With contributions spanning visual tracking, color-opponency pursuit, and hierarchical temporal memory on the iCub robot, Albanese’s research consistently pushes the boundaries of how we model, simulate, and understand intelligent behavior in artificial systems.
Research Focus
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Top Papers
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- 8HBP Neurorobotics Platform5 citations · 2017