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About

Bernhard Dieber is a pioneering researcher at the intersection of robotics and cybersecurity, whose work has fundamentally shaped how the field understands and addresses security vulnerabilities in robotic systems. His research focuses primarily on securing the Robot Operating System (ROS), the dominant framework powering modern robotics research and increasingly commercial and industrial deployments. Dieber's most influential contributions include a trio of highly cited papers on ROS security published between 2016 and 2017, collectively accumulating over 330 citations, which systematically exposed critical vulnerabilities in ROS and proposed robust application-level and communication security solutions. His 2019 work on penetration testing ROS further deepened this analysis, providing practical methodologies for identifying exploitable weaknesses. Beyond securing existing frameworks, Dieber has demonstrated impressive intellectual range by exploring quantum computation's implications for robotics and developing the Robot Vulnerability Database (RVD), a community resource for cataloguing robotic security flaws. His 2021 book-level treatment of cybersecurity in robotics — addressing quantitative modeling and real-world practice — underscores his commitment to bridging theoretical research and industrial application. For students and researchers working on safe, reliable robotic systems, Dieber's body of work represents an essential foundation in an increasingly critical discipline.