Max Robotics — Global Service Robot Directory + US Certification

About

Giuseppe Notarstefano is a leading researcher in distributed optimization, cooperative robotics, and multi-agent systems, whose work has fundamentally advanced how networks of autonomous robots coordinate and make collective decisions. His most celebrated contribution — a distributed version of the Hungarian method for multirobot assignment (2017, 176 citations) — elegantly enables robots to cooperatively compute optimal task allocations without relying on centralized control. His early and influential work on connectivity maintenance in second-order agent networks (2006/2009, 185 combined citations) established rigorous foundations for keeping robotic teams reliably connected under real-world dynamics. Notarstefano has pioneered the framework of distributed aggregative optimization, developing novel feedback laws that steer robot networks toward globally optimal configurations — work that spans theoretical formulations to nonconvex extensions applicable to real deployments. His team also bridges theory and practice through tools like CrazyChoir, a ROS 2 framework for flying quadrotor swarms, and comprehensive tutorials that make distributed optimization accessible to the broader robotics community. With research spanning estimation, coverage of unknown spatial fields, and online coordination, Notarstefano's contributions have shaped modern cooperative robotics, earning him well over 500 citations and establishing him as an authoritative voice in the field.