Antonio D. Griego

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About

Antonio D. Griego is a leading researcher in swarm robotics, with a focus on developing efficient, real-world algorithms for multi-robot systems. His work centers on collective foraging and search strategies, bridging the gap between theoretical models and physical robot performance. Griego's most impactful contribution is the **distributed deterministic spiral algorithm (DDSA)**, a novel approach that generalizes spiral search patterns to robot swarms, enabling efficient resource collection in unknown environments. This work, published in 2016, has garnered **45 citations** and remains a foundational reference in the field. He further advanced the discipline by comparing deterministic and bio-inspired stochastic foraging strategies in a 2019 study (18 citations), providing critical insights into algorithm robustness under real-world noise and uncertainty. Beyond his research, Griego is a key figure in science education through the **Swarmathon**, an autonomous swarm robotics competition he helped design. This NASA-supported challenge engages students from minority-serving institutions in programming robot swarms for Mars exploration scenarios, producing both prototypes and a new generation of robotics talent. His work demonstrates how fundamental research can drive both scientific progress and educational outreach.