Jalil Ahmed

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About

Jalil Ahmed is a researcher in robotics and swarm intelligence, with a focus on developing algorithms for autonomous multi-robot systems. His most notable contribution is the design of a radiating L-shaped search algorithm, created for NASA’s DustySWARM team and implemented during the 2019 NASA Swarmathon competition. This algorithm, inspired by ant foraging behavior, enables compact rovers known as Swarmies to efficiently explore and map unknown terrains, mimicking the decentralized coordination of biological swarms. Ahmed’s work directly addresses challenges in space exploration, where robust, scalable search strategies are critical for planetary rovers. His paper on this algorithm has garnered attention within the swarm robotics community, accumulating 4 citations and serving as a foundational reference for teams competing in the Swarmathon. By bridging bio-inspired computation and practical NASA applications, Ahmed has demonstrated how simple, radiating search patterns can outperform traditional methods in resource-constrained environments. His research continues to influence the design of autonomous systems for extraterrestrial exploration, highlighting the potential of swarm robotics in real-world missions.