Robotic AI-Driven Communication Modules for Enhanced Piezo- Metamaterial Sensing and Structural Health Monitoring - Abstract
This study investigates the role of active communication modules in advanced piezo-metamaterial sensing, emphasizing data optimization through miniaturized sensor kits and AI-driven robots. We compare a portable piezo-Arduino sensor kit with three signal display options to a piezo-wireless sensing network kit using robot-based communication modules. Various Arduino C programs were developed for different communication modules using IDE and mBlock scratch (m-BS) interfaces. Additionally, we explore a dual electromagnetic wave-based sensing approach that generates localized surface plasmon (LSP) and surface plasmon polariton (SPP) waves at sensor interfaces.