Daniele Peri

Papers

Total Citations

H-Index

About

Daniele Peri is a researcher whose work lies at the intersection of multi-robot systems, wireless sensor networks, and autonomous navigation. His research focuses on enabling effective coordination and communication among robots operating in dynamic, real-world environments. Peri’s major contributions include developing a lightweight, multi-threaded software architecture for robot navigation that uses environmental landmark recognition for real-time performance, as detailed in his 2006 paper (5 citations). He also pioneered frameworks for multi-robot interaction through wireless sensor networks (2007, 5 citations) and proposed a networking framework for multi-robot coordination (2008, 4 citations). These works address the fundamental challenge of how autonomous agents can interact with a world populated by objects, people, and other agents—a problem central to platforms like ASIMO and QRIO. While his citation counts are modest, Peri’s research provides foundational insights into reactive-layer design and shared-memory communication for robotics. His work is particularly valuable for students and engineers building practical, real-time multi-robot systems, offering tested approaches to navigation, visual logging, and inter-robot networking in complex environments.