Ian Sargeant

Papers

Total Citations

H-Index

About

Ian Sargeant is a researcher specializing in the security and resilience of robotic swarm systems, a niche but increasingly critical field at the intersection of robotics, cybersecurity, and artificial intelligence. His work addresses a significant gap in swarm robotics research: the prevailing assumption that swarms operate in benign environments, which Sargeant challenges by systematically modeling and analyzing threats posed by malicious entities. His most cited contribution, "Modelling Malicious Entities in a Robotic Swarm" (2013, 14 citations), laid foundational groundwork by proposing generic models for swarm behavior and cataloguing potential attack vectors — work that was ahead of its time in recognizing security as a core concern in swarm design. He followed this with "Review of Potential Attacks on Robotic Swarms" (2017, 11 citations), providing a comprehensive taxonomy of vulnerabilities, and later "Intrusion Detection in Robotic Swarms" (2019), shifting focus toward defensive mechanisms and detection strategies. Across his body of work, Sargeant has been a pioneering voice in swarm security, accumulating over 30 citations in a highly specialized domain. His research is essential reading for anyone designing robust, real-world swarm robotics deployments in adversarial environments.