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Analysing Robot Movement Using the Sensoria Methods

  • Maurice H. ter Beek
  • Alessandro Lapadula
  • Michele Loreti
  • Claudio Palasciano
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6582)

Abstract

In this paper, we give a recount of the application of Sensoria approaches, languages, and tools to the modeling of movement of the robot that has taken the lead role in Sensoria demonstrations at the exhibitions ICT 2008 in Lyon and FET 2009 in Prague. The demos were centred around a robot-bowling game that actively involved the visitors in programming a robot that plays bowling, using some of the techniques developed in Sensoria in order to predict the outcomes of the game according to their design choices. Specifically, the Sensoria techniques have been used for the analysis of functional and non-functional properties of the system, both in the ex-post analysis of the robot movement during the demo and in the ex-ante analysis of the possible robot configurations during the design of the robot and of the demo itself. This paper presents how the techniques have been applied and to what extent the results of the application match the real robot behavior. The Sensoria modeling and analysis techniques used are the UML4SOA graphical modeling language, the Performance Evaluation Process Algebra PEPA, the UMC model checker and the Markovian process algebra MarCaSPiS.

Keywords

Light Sensor Robot Position Robot Behavior Robot Speed Precise Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Maurice H. ter Beek
    • 1
  • Alessandro Lapadula
    • 2
  • Michele Loreti
    • 2
  • Claudio Palasciano
    • 3
  1. 1.ISTI–CNRPisaItaly
  2. 2.DSIUniversità di FirenzeItaly
  3. 3.MIP Politecnico di MilanoItaly

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