Daniele Pannone

Papers

Total Citations

H-Index

About

Daniele Pannone is a robotics researcher whose work focuses on autonomous systems, multi-robot coordination, and security applications. His key research areas include unmanned aerial vehicle (UAV) path planning, visual cryptography, and rover-based target detection in unknown environments. Pannone’s most impactful contribution is his 2021 paper on automatic estimation of optimal UAV flight parameters for real-time wide-area monitoring (16 citations), which addresses critical challenges in autonomous surveillance by optimizing flight paths for efficient coverage. His 2019 work on visual cryptography for detecting hidden targets using small-scale robots (8 citations) introduces novel encryption techniques for robotic search missions, while his 2018 rover-based system for searching encrypted targets (5 citations) demonstrates practical solutions for military and security operations where data encryption and target marking are essential. These contributions have direct applications in border control, precision agriculture, and defense, showcasing Pannone’s ability to bridge theoretical robotics with real-world security challenges. His research is particularly notable for integrating cryptographic methods with autonomous navigation, enabling robots to securely identify and mark relevant positions in unknown environments.