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Multilevel testing of control software for teams of autonomous mobile robots

Petters, Sebastian and Thomas, Dirk and Friedmann, Martin and Stryk, Oskar von and Stryk, Oskar von
Carpin, S. and Noda, I. and Pagello, E. and Reggiani, M. and Stryk, Oskar von (eds.) (2008):
Multilevel testing of control software for teams of autonomous mobile robots.
In: Simulation, Modeling and Programming for Autonomous Robots (SIMPAR 2008), Berlin, Springer, In: Lecture Notes in Artificial Intelligence, 5325, DOI: 10.1007/978-3-540-89076-8_20,
[Conference or Workshop Item]

Abstract

Developing control software for teams of autonomous mobile robots is a challenging task, which can be facilitated using frameworks with ready to use components. But testing and debugging the resulting system as teached in modern software engineering to be free of errors and tolerant to sensor noise in a real world scenario is to a large extend beyond the scope of current approaches. In this paper multilevel testing strategies using the developed frameworks RoboFrame and MuRoSimF are presented. Testing incorporating automated tests, online and offline analysis and software-in-the-loop (SIL) tests in combination with real robot hardware or an adequate simulation are highly facilitated by the two frameworks. Thus the efficiency of validation of complex real world applications is improved. In this way potential errors can be identified early in the development process and error situations in real world operations can be reduced significantly.

Item Type: Conference or Workshop Item
Erschienen: 2008
Editors: Carpin, S. and Noda, I. and Pagello, E. and Reggiani, M. and Stryk, Oskar von
Creators: Petters, Sebastian and Thomas, Dirk and Friedmann, Martin and Stryk, Oskar von and Stryk, Oskar von
Title: Multilevel testing of control software for teams of autonomous mobile robots
Language: English
Abstract:

Developing control software for teams of autonomous mobile robots is a challenging task, which can be facilitated using frameworks with ready to use components. But testing and debugging the resulting system as teached in modern software engineering to be free of errors and tolerant to sensor noise in a real world scenario is to a large extend beyond the scope of current approaches. In this paper multilevel testing strategies using the developed frameworks RoboFrame and MuRoSimF are presented. Testing incorporating automated tests, online and offline analysis and software-in-the-loop (SIL) tests in combination with real robot hardware or an adequate simulation are highly facilitated by the two frameworks. Thus the efficiency of validation of complex real world applications is improved. In this way potential errors can be identified early in the development process and error situations in real world operations can be reduced significantly.

Title of Book: Simulation, Modeling and Programming for Autonomous Robots (SIMPAR 2008)
Series Name: Lecture Notes in Artificial Intelligence
Volume: 5325
Number: 5325
Place of Publication: Berlin
Publisher: Springer
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Simulation, Systems Optimization and Robotics Group
Date Deposited: 20 Jun 2016 23:26
DOI: 10.1007/978-3-540-89076-8_20
Identification Number: 2008-Petters-etal-Testing-Simpar
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