Maurizio Capra

Papers

Total Citations

H-Index

About

Maurizio Capra’s research lies at the intersection of assistive robotics, pervasive sensing, and gerontechnology, with a focus on enhancing safety and independence for older adults. His most cited work, “Assessing the Feasibility of Augmenting Fall Detection Systems by Relying on UWB-Based Position Tracking and a Home Robot” (2020, 13 citations), tackles a critical public health challenge: falls among seniors, which affect one in four adults over 65 annually. Capra proposed a novel hybrid approach combining ultra-wideband (UWB) position tracking with a home robot to improve fall detection accuracy and reduce false alarms—a significant step beyond traditional wearable or camera-based systems. This work demonstrates his ability to integrate hardware, algorithms, and real-world deployment considerations. While his citation count is still growing, Capra’s contributions are notable for their practical orientation and potential to reshape aging-in-place technologies. His research reflects a deep commitment to engineering solutions that directly address the everyday vulnerabilities of an aging population, making him a promising voice in the field of human-centered robotics and ambient assisted living.