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About

Endika Gil-Uriarte is a pioneering researcher at the intersection of robotics and cybersecurity, dedicated to building a safer and more secure future for autonomous and collaborative robotic systems. His work addresses a critical gap in the field: as robots increasingly permeate industrial, professional, and consumer environments, their security vulnerabilities have been dangerously underestimated. Gil-Uriarte's most significant contributions include the development of foundational frameworks for robot security assessment. His Robot Security Framework (RSF) (17 citations) provides a standardized methodology for evaluating robotic vulnerabilities, while the Robot Vulnerability Scoring System (RVSS) (14 citations) adapts traditional IT scoring methods to the unique demands of cyber-physical systems. He further institutionalized this work through the Robot Vulnerability Database (RVD), creating a structured repository for tracking robotics security flaws. His research also explores robot hazards broadly (18 citations), volatile memory forensics for ROS, industrial ransomware threats like "Akerbeltz," and the application of DevSecOps principles in robotics development. With a total of approximately 85 citations across his published work, Gil-Uriarte has established himself as one of the field's most systematic voices in robot cybersecurity, offering researchers, engineers, and policymakers the tools necessary to confront an increasingly urgent challenge.