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About

Micha Sende is a leading researcher in swarm robotics and cyber-physical systems (CPS), focusing on bridging the gap between theoretical swarm intelligence and real-world industrial applications. His work explores how multiple robots can collectively solve problems by mimicking natural systems like bee colonies and fish schools, with a particular emphasis on developing practical, deployable swarm behaviors. Sende’s most influential contribution is his 2020 paper "Swarm Robotic Behaviors and Current Applications," which has garnered 439 citations and critically examines why industrial adoption of swarm robotics remains elusive. He further advanced the field with "Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends" (182 citations), which outlines key obstacles and opportunities for CPS swarms. Notably, Sende is pioneering the use of mixed reality to address the "reality gap" in drone swarm development, as demonstrated in his 2024 work, offering a cost-effective method to evaluate swarm algorithms without expensive real-world trials. His research is essential for students and engineers seeking to understand how swarm intelligence can transition from academic theory to robust, industrial-scale applications.