Max Robotics — Global Service Robot Directory + US Certification

About

Rosario Surace is a researcher whose work sits at the intersection of robotics, wireless communications, and optimization, with a particular focus on autonomous aerial systems. His most impactful contribution is a seminal paper on the unmanned aerial vehicle (UAV) routing problem with soft time windows, which has garnered 138 citations and established a multi-objective framework for drone logistics. Surace has also made significant advances in wireless networking, notably through his work on decentralized time-synchronized channel swapping for ad hoc networks—a key enabler for collision-free communication in drone swarms and sensor networks. In the domain of aerial cinematography, he pioneered the mathematical modeling of the Sport Event Filming (SEF) problem, developing algorithms to coordinate camera drones for optimal viewer satisfaction. His research further explores distributed control algorithms for flying robots monitoring events and the impact of propagation environments on controlled mobility in wireless networked robotics. With over 250 total citations across his publications, Surace’s work bridges theoretical optimization and practical deployment, offering foundational solutions for autonomous drone operations in time-sensitive and communication-constrained environments.