Regulating Safety and Security in Autonomous Robotic Systems
Matt Luckcuck, Marie Farrell

TL;DR
This paper discusses the development of formal safety and security regulations for autonomous robotic systems, emphasizing collaboration with regulators to create verifiable guidelines applicable across sectors.
Contribution
It introduces a collaborative approach to develop formalizable safety guidelines for autonomous systems in space and nuclear sectors, bridging gaps between regulators and academia.
Findings
Formal methods can verify safety compliance of autonomous systems.
Collaborative development improves regulatory guidelines for safety.
Bridging industry and academic knowledge enhances safety assurance.
Abstract
Autonomous Robotics Systems are inherently safety-critical and have complex safety issues to consider (for example, a safety failure can lead to a safety failure). Before they are deployed, these systems of have to show evidence that they adhere to a set of regulator-defined rules for safety and security. Formal methods provide robust approaches to proving a system obeys given rules, but formalising (usually natural language) rules can prove difficult. Regulations specifically for autonomous systems are still being developed, but the safety rules for a human operator are a good starting point when trying to show that an autonomous system is safe. For applications of autonomous systems like driverless cars and pilotless aircraft, there are clear rules for human operators, which have been formalised and used to prove that an autonomous system obeys some or all of these rules. However, in…
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Taxonomy
TopicsFormal Methods in Verification · Safety Systems Engineering in Autonomy · Ethics and Social Impacts of AI
