UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater Vehicles (Artifact)

Authors Simos Gerasimou, Radu Calinescu, Stepan Shevtsov, Danny Weyns

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  • Filesize: 399 kB
  • 2 pages

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Simos Gerasimou
Radu Calinescu
Stepan Shevtsov
Danny Weyns

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Simos Gerasimou, Radu Calinescu, Stepan Shevtsov, and Danny Weyns. UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater Vehicles (Artifact). In Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017). Dagstuhl Artifacts Series (DARTS), Volume 3, Issue 1, pp. 3:1-3:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)



Recent advances in embedded systems and underwater communications raised the autonomy levels in unmanned underwater vehicles (UUVs) from human-driven and scripted to adaptive and self-managing. UUVs can execute longer and more challenging missions, and include functionality that enables adaptation to unexpected oceanic or vehicle changes. As such, the UNDERSEA artifact facilitates the development, evaluation and comparison of self-adaptation solutions in a new and important application domain. UNDERSEA comes with predefined oceanic surveillance UUV missions, adaptation scenarios, and a reference controller implementation, all of which can easily be extended or replaced.
  • Unmanned underwater vehicle exemplar; self-adaptive embedded systems; oceanic surveillance


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  1. MichaelR. Benjamin, Henrik Schmidt, PaulM. Newman, and JohnJ. Leonard. Autonomy for unmanned marine vehicles with MOOS-IvP. In Marine Robot Autonomy, pages 47-90. 2013. Google Scholar
  2. J.O. Kephart and D.M. Chess. The vision of autonomic computing. Computer, 36(1):41-50, 2003. URL: http://dx.doi.org/10.1109/MC.2003.1160055.
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