Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments
International Journal of Robotics Research
Mobile Systems from a Validation Perspective: a Case Study
ISPDC '07 Proceedings of the Sixth International Symposium on Parallel and Distributed Computing
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Evolutionary testing of autonomous software agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
KNOWROB: knowledge processing for autonomous personal robots
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Towards composable robotics: the R3-COP knowledge-base driven technology platform
SAFECOMP'12 Proceedings of the 2012 international conference on Computer Safety, Reliability, and Security
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Autonomous systems are used nowadays in more and more sectors from vehicles to domestic robots. They can make decisions on their own or interact with humans, thus their robustness and safety are properties of crucial importance. Due to the adaptive and context-aware nature of these systems, the testing of such properties is especially challenging. In this paper, we propose a model-based testing approach to capture the context and requirements of such systems, to automatically generate test data representing complex situations, and to evaluate test traces and compute test coverage metrics.