Generating Safe Autonomous Decision-Making in ROS

Yi Yang
(imec-DistriNet, Dept. of Computer Science, KU Leuven)
Tom Holvoet
(imec-DistriNet, Dept. of Computer Science, KU Leuven)

The Robot Operating System (ROS) is a widely used framework for building robotic systems. It offers a wide variety of reusable packages and a pattern for new developments. It is up to developers how to combine these elements and integrate them with decision-making for autonomous behavior. The feature of such decision-making that is in general valued the most is safety assurance.

In this research preview, we present a formal approach for generating safe autonomous decision-making in ROS. We first describe how to improve our existing static verification approach to verify multi-goal multi-agent decision-making. After that, we describe how to transition from the improved static verification approach to the proposed runtime verification approach. An initial implementation of this research proposal yields promising results.

In Matt Luckcuck and Marie Farrell: Proceedings Fourth International Workshop on Formal Methods for Autonomous Systems (FMAS) and Fourth International Workshop on Automated and verifiable Software sYstem DEvelopment (ASYDE) (FMAS2022 ASYDE2022), Berlin, Germany, 26th and 27th of September 2022, Electronic Proceedings in Theoretical Computer Science 371, pp. 184–192.
Published: 27th September 2022.

ArXived at: https://dx.doi.org/10.4204/EPTCS.371.13 bibtex PDF
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