Intrusion Detection in Swarm Robotics

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Mentor: Dr. Debbie Perouli

Description: When robots are organized in swarms, each robot coordinates with the rest in order to execute a collaborative task. Potential applications vary significantly and include warehouse cleaners, space explorers and nanorobots in veins and arteries. Although fault tolerance algorithms have been developed to some degree for such swarms, there are important security questions that remain open. This project focuses on detecting whether one or more members of the robotic swarm have been compromised. Building on preliminary work, the student(s) will develop, implement and test an intrusion detection algorithm for specific robotic swarms. The student(s) will be able to work with both simulators and real robots available at Marquette University’s research laboratories.