KoosseiseSafe

KoosseiseSafe is a safety framework for designing and validating autonomous systems, including robotics, unmanned vehicles, and automated control software. It provides a structured approach to specify, verify, and monitor safety properties throughout a system’s lifecycle, aiming to reduce risk by making safety decisions auditable and reproducible.

Core principles include explicit safety properties, modular composition, traceability from requirements to implementation, formal verification where feasible, and runtime monitoring with safeguards and fail-safe states.

The architecture comprises a specification layer that defines safety requirements, a verification layer employing modeling and formal methods, a runtime monitoring layer that observes behavior and can trigger safe states, and a governance layer that handles versioning, certification, and compliance.

Development and adoption have emerged from academic and industry collaborations in the 2020s as a family of methodologies rather than a single standard. It is used in research pilots and some industry projects and is often integrated with existing safety standards and regulatory frameworks.

Applications span robotics, autonomous transport, and industrial automation, with tooling to generate safety cases, perform hazard analysis, and plan verification tests. KoosseiseSafe emphasizes openness, interoperability, and compatibility with common simulation environments and middleware.

Limitations include the complexity of verifying large, real-time systems, potential runtime overhead, and the need for organizational commitment to rigorous documentation and ongoing maintenance. As with any safety framework, it complements, but does not replace, domain-specific engineering practices.