Igor P. Maurell

Papers

Total Citations

H-Index

About

Igor P. Maurell is a roboticist whose work bridges the critical gap between autonomous navigation and cybersecurity in robotic systems. His research centers on two key areas: the security vulnerabilities of robot operating systems (ROS) and the development of robust path-planning algorithms for mobile robots. Maurell’s most impactful contribution is his seminal 2020 paper, "Security on ROS: analyzing and exploiting vulnerabilities of ROS-based systems," which has garnered 28 citations. This work sounded an urgent alarm for the robotics community, demonstrating how the common focus on innovation and functionality leaves robots dangerously exposed to cyberattacks—a threat that can escalate to human safety risks in shared environments. Beyond security, Maurell has advanced practical navigation with his 2024 paper on "Teach and Repeat for Path Planning Using Bézier Curves" (2 citations), which enables differential-drive service robots to reliably learn and repeat complex paths. He also contributed to the "SHARK: Stable Hoverboard-driven Autonomous Robot Kit" (2 citations), an open-source platform that democratizes robotics research. Maurell’s dual focus on making robots both smarter and safer positions him as a forward-thinking researcher, essential reading for anyone building the next generation of autonomous systems.