Max Robotics — Global Service Robot Directory + US Certification

About

Neil Mathew’s research lies at the intersection of multi-robot coordination, persistent autonomy, and field robotics. His most influential work addresses a critical bottleneck in long-duration missions: energy management for autonomous aerial vehicles. In his highly cited 2015 paper (171 citations), Mathew introduced a novel framework for multirobot rendezvous planning, where dedicated charging robots service working UAVs during persistent tasks—a paradigm shift from returning to base. This work, alongside his 2013 graph-based approach (72 citations), provides foundational scheduling algorithms that enable continuous, uninterrupted operations for teams of robots. Mathew’s contributions extend to autonomous exploration, where he integrated SLAM, complete coverage, and object detection without GPS or magnetometers (42 citations), validated through field trials. His research on optimal path planning for heterogeneous delivery systems (25 citations) further demonstrates his impact on real-world logistics. By solving the energy-autonomy problem, Mathew has paved the way for persistent environmental monitoring, search-and-rescue, and infrastructure inspection, making his work essential reading for researchers in multi-robot systems and field robotics.