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Robot Runner: A Tool for Automatically Executing Experiments on Robotics Software

Authors :
Ivano Malavolta
Stan Swanborn
Software and Sustainability (S2)
Network Institute
Source :
ICSE (Companion Volume), Swanborn, S & Malavolta, I 2021, Robot Runner: A Tool for Automatically Executing Experiments on Robotics Software . in 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) : Proceedings . Proceedings-International Conference on Software Engineering, IEEE Computer Society, pp. 33-36, 43rd IEEE/ACM International Conference on Software Engineering: Companion, ICSE-Companion 2021, Virtual, Online, Spain, 25/05/21 . https://doi.org/10.1109/ICSE-Companion52605.2021.00029, 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion): Proceedings, 33-36, STARTPAGE=33;ENDPAGE=36;TITLE=2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Software is becoming the core aspect in robotics development and it is growing in terms of complexity and size. However, roboticists and researchers are struggling in ensuring and even measuring the quality of their software with respect to run-time properties such as energy efficiency and performance. This paper presents Robot Runner, a tool for streamlining the execution of measurement-based experiments involving robotics software. The tool is able to automatically setup, start, resume, and fully replicate user-defined experiments. Thanks to its plugin-based architecture, the tool is fully independent of the number, type, and complexity of the used robots (both real and simulated). GitHub repository - https://github.com/S2-group/robot-runner Youtube video - https://youtu.be/le-SAXI2k1.

Details

Database :
OpenAIRE
Journal :
2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
Accession number :
edsair.doi.dedup.....72d0323c70ef89b2e2ae3660eda957d7
Full Text :
https://doi.org/10.1109/icse-companion52605.2021.00029