Papers
48
Total Citations
1,378
H-Index
18
About
Giacomo Indiveri is a pioneering researcher in neuromorphic engineering and computational neuroscience, whose work sits at the intersection of robotics, artificial intelligence, and brain-inspired computing. His research focuses on designing neuromorphic hardware systems — electronic circuits that emulate biological neural networks — and deploying them in real-world robotic applications. Indiveri has made landmark contributions to the field, including developing neuromorphic vision sensors capable of real-time, low-power visual processing (157 citations), and advancing spiking neural network architectures for autonomous robotic navigation and obstacle avoidance. His highly cited work on "Embodied Neuromorphic Intelligence" (203 citations) articulates a compelling vision for robots that replicate the adaptive efficiency of living organisms. His ReckOn processor (137 citations) represents a breakthrough in on-chip learning, enabling edge devices to adapt continuously to real-world variability. Beyond hardware, Indiveri has contributed systematic methods for configuring large-scale spiking neural networks and demonstrated closed-loop neuromorphic control on humanoid platforms like the iCub robot. Spanning over two decades, his research has shaped how the field understands low-power, event-driven intelligence, making him a foundational figure for students and researchers working toward truly autonomous, brain-inspired machines.
Research Focus
Key Achievements
Top Papers
- 1Embodied neuromorphic intelligence203 citations · 2022
- 2Neuromorphic Vision Sensors157 citations · 2000
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- 7A Systematic Method for Configuring VLSI Networks of Spiking Neurons58 citations · 2011
- 8Embedded neuromorphic vision for humanoid robots45 citations · 2011
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