Papers
18
Total Citations
322
H-Index
10
About
Lorenzo Vannucci is a leading researcher at the intersection of computational neuroscience, neurorobotics, and bio-inspired control systems. His work focuses on bridging the gap between detailed spiking neural network models and physical robotic embodiments, creating biologically plausible controllers that emulate natural sensorimotor loops. Vannucci’s most impactful contribution is his role in developing the Neurorobotics Platform (117 citations), a comprehensive simulation framework that connects artificial brain models to robots, enabling the validation of neural circuits in rich, dynamic environments. He has also pioneered adaptive control strategies for visual pursuit, gaze stabilization, and quadruped locomotion, integrating cerebellar-inspired internal models and predictive feedback mechanisms. His research on proprioceptive feedback through neuromorphic muscle spindle models and domain-specific languages for neuronal network integration has advanced the field of bio-inspired robotics. Notably, Vannucci has explored emotion as an emergent property of neurocomputational energy regulation in decision-making agents. With over 270 total citations across his top publications, his work is instrumental in developing adaptive, neurally-grounded robotic systems that push the boundaries of both robotics and neuroscience.
Research Focus
Key Achievements
Top Papers
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- 4Proprioceptive Feedback through a Neuromorphic Muscle Spindle Model20 citations · 2017
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- 6A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks17 citations · 2016
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