Paolo Coraggio

Papers

Total Citations

H-Index

About

Paolo Coraggio is a researcher whose work sits at the intersection of robotics, artificial intelligence, and cognitive modeling. His primary research areas include robot localization, neurosymbolic reasoning, and bio-inspired robotic systems. Coraggio’s major contributions lie in developing hybrid approaches that combine neural networks with symbolic reasoning to solve fundamental challenges in autonomous robotics. His most cited work, "WiSARD and NSP for Robot Global Localization" (2007, 18 citations), demonstrates a novel method for enabling robots to determine their position in an environment. He further advanced this field with "ROBOT NAVIGATION BASED ON NEUROSYMBOLIC REASONING OVER LANDMARKS" (2008, 7 citations), which proposed a hybrid system for self-localization—a critical issue in autonomous robotics. Coraggio also explored the intersection of art and technology with his work on *DrawBot* (2007, 4 citations), a bio-inspired robotic portraitist that mimics human visuomotor behavior during drawing. This project, which models eye movements computationally, showcases his interest in cognitive architectures. With a focused body of work spanning roughly 2006–2008, Coraggio’s research remains relevant to those studying neurosymbolic systems, landmark recognition, and biologically inspired robotics.