Papers
10
Total Citations
85
H-Index
7
About
Massimo De Gregorio is a leading figure in neurosymbolic artificial intelligence and cognitive robotics, whose work bridges the gap between neural computation and symbolic reasoning to create more adaptive, intelligent robotic systems. His most significant contributions center on the development of the WiSARD weightless neural network and the Neuro-Symbolic Processor (NSP), which he has applied to solve fundamental problems in robot localization, navigation, and human-robot interaction. His seminal 2007 paper on "WiSARD and NSP for Robot Global Localization" (18 citations) established a novel approach to landmark recognition, while his 2014 work on human tracking ("Can you follow that guy," 14 citations) addressed the challenging problem of mobile robot pursuit. De Gregorio has also pioneered the application of weightless neural networks to brain-computer interfaces, as demonstrated in his 2018 study translating EEG signals into robotic hand commands (7 citations). His research on adaptive oscillatory neural architectures for behavior-based control systems has provided new frameworks for emergent robotic behaviors. With over 80 accumulated citations across his most influential works, De Gregorio continues to shape the field of neurosymbolic robotics, offering elegant solutions that combine the flexibility of neural networks with the interpretability of symbolic systems.
Research Focus
Key Achievements
Top Papers
- 1WiSARD and NSP for Robot Global Localization18 citations · 2007
- 2Can you follow that guy14 citations · 2014
- 3Experimenting WNN support in object tracking systems13 citations · 2015
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- 6ROBOT NAVIGATION BASED ON NEUROSYMBOLIC REASONING OVER LANDMARKS7 citations · 2008
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