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About

Afzal Ahmad is a robotics researcher specializing in autonomous aerial systems, multi-robot coordination, and swarm intelligence. His work focuses on advancing the capabilities of Unmanned Aerial Vehicles (UAVs) in challenging, real-world environments — particularly those where GPS or global navigation satellite systems (GNSS) are unavailable and obstacle density is high. Among his most influential contributions is his work on the MRS Drone platform (2023, 37 citations), a modular system designed to bridge the gap between laboratory research and real-world deployment of aerial multi-robot systems. Ahmad has also made significant strides in UAV swarming, developing decentralized algorithms that enable compact flocks of drones to navigate unknown, cluttered environments without relying on external localization infrastructure or pre-existing maps. His 2021 paper on autonomous aerial swarming in GNSS-denied environments has garnered 30 citations, while complementary work on safe, tightly-constrained swarming methods has earned an additional 12 citations. By combining bio-inspired swarming principles with local planning strategies, Ahmad's research pushes the boundaries of autonomous flight safety and scalability, making meaningful contributions to fields ranging from search-and-rescue operations to autonomous inspection in GPS-denied spaces.