Marco Nunnari
Papers
1
Total Citations
40
H-Index
1
About
Marco Nunnari is a researcher whose work sits at the intersection of robotics, sensor fusion, and industrial automation. His primary research areas include joint-angle estimation, fault detection in robotic manipulators, and the application of low-cost inertial sensors for enhanced system reliability. His most notable contribution is a pioneering joint-angle estimation method for industrial manipulators, which leverages affordable inertial sensors to create an independent, easy-to-install monitoring system. This scheme can operate separately from the primary encoder-based sensors, enabling the development of robust fault-detection systems that improve safety and uptime in manufacturing environments. With 40 citations, this 2015 paper has become a foundational reference for engineers seeking cost-effective redundancy in robotic sensing. Nunnari’s work is particularly valued for its practical, implementation-focused approach, bridging the gap between theoretical sensor fusion and real-world industrial needs. His achievements highlight a commitment to making advanced robotics more accessible and reliable, offering a compelling solution for students and researchers interested in low-cost automation, sensor integration, and fault-tolerant system design.
Research Focus
Key Achievements
Top Papers
- 1