Maurizio Giordano

Institute for High Performance Computing and Networking, Indian Council of Agricultural Research

Papers

Total Citations

H-Index

About

Maurizio Giordano is a researcher at the intersection of robotics, human-robot interaction (HRI), and neural computation, with a particular focus on assistive technologies. His work centers on developing intelligent systems that enable robots to perceive, track, and respond to human presence and intention. A key contribution is his pioneering use of Weightless Neural Networks (WNNs) and WiSARD architectures for real-time control. Notably, his 2019 paper on a WiSARD-based BCI for robotic prosthetic control (21 citations) demonstrates how these lightweight networks can translate EEG signals into hand commands, offering a promising path toward intuitive, non-invasive prosthetics. Giordano has also made significant advances in the foundational problem of human tracking, as seen in his work "Can you follow that guy" (14 citations), which addresses the challenge of a robot autonomously following a moving person. His research further explores the subtle dynamics of HRI, such as how a robot’s head movements affect a user’s perception of tracking performance (8 citations). With a cumulative impact of over 60 citations on these core topics, Giordano’s work is shaping the development of more responsive, socially-aware robotic systems designed to assist and collaborate with people.