Asier Bilbao Calvo

About

Asier Bilbao Calvo is a cybersecurity researcher specializing in the intersection of robotics and information security — an emerging field addressing critical vulnerabilities in increasingly autonomous systems. His most significant contributions center on establishing rigorous, standardized frameworks for evaluating and communicating robot security risks. In 2018, he introduced the Robot Security Framework (RSF), a cross-disciplinary methodology designed to bring systematic security assessments to robotic platforms, a domain where traditional IT security approaches often fall short. Complementing this work, he co-developed the Robot Vulnerability Scoring System (RVSS), an adaptation of classical vulnerability scoring that accounts for the unique safety implications of cyberphysical systems — work that has collectively garnered over 30 citations. Recognizing the need for hands-on security education, Bilbao Calvo also created the Robotics Capture the Flag (RCTF) platform, a practical hacking playground bridging the gap between robotics engineers and cybersecurity professionals. His work extends into machine learning for robotics through robot_gym, a cloud-based simulation framework leveraging ROS and Gazebo to accelerate robot training. Across these contributions, Bilbao Calvo has positioned himself as a pioneer in robot security standardization and education.

Research Focus

Key Achievements

Top Papers

1. 1
   Introducing the Robot Security Framework (RSF), a standardized methodology to perform security assessments in robotics

   17 citations · 2018
2. 2
   Towards an open standard for assessing the severity of robot security vulnerabilities, the Robot Vulnerability Scoring System (RVSS)

   14 citations · 2018
3. 3
   Robotics CTF (RCTF), a playground for robot hacking

   4 citations · 2018
4. 4
   Robot_gym: accelerated robot training through simulation in the cloud with ROS and Gazebo

   2 citations · 2018

Key Collaborators

Contact & Links