Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research
Lier F, Lücking P, de Leeuw J, Wachsmuth S, Šabanović S, Goldstone R (2017)
In: ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead. Bonsignorio FP (Ed); Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore. IEEE.
Kurzbeitrag Konferenz / Poster
| Veröffentlicht | Englisch
Autor*in
Lier, FlorianUniBi ;
Lücking, PhillipUniBi;
de Leeuw, Joshua;
Wachsmuth, SvenUniBi ;
Šabanović, Selma;
Goldstone, Robert
Herausgeber*in
Bonsignorio, Fabio P.
Stichworte
Reproducibility;
Robotics;
Software Engineering;
Software
Erscheinungsjahr
2017
Titel des Konferenzbandes
ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead
Serien- oder Zeitschriftentitel
Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore
Urheberrecht / Lizenzen
Konferenz
IEEE International Conference on Robotics and Automation (ICRA) 2017
Konferenzort
Singapore
Konferenzdatum
2017-05-29 – 2017-06-04
Page URI
https://pub.uni-bielefeld.de/record/2910475
Zitieren
Lier F, Lücking P, de Leeuw J, Wachsmuth S, Šabanović S, Goldstone R. Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research. In: Bonsignorio FP, ed. ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore. IEEE; 2017.
Lier, F., Lücking, P., de Leeuw, J., Wachsmuth, S., Šabanović, S., & Goldstone, R. (2017). Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research. In F. P. Bonsignorio (Ed.), Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore. ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead IEEE.
Lier, Florian, Lücking, Phillip, de Leeuw, Joshua, Wachsmuth, Sven, Šabanović, Selma, and Goldstone, Robert. 2017. “Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research”. In ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead, ed. Fabio P. Bonsignorio. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore. IEEE.
Lier, F., Lücking, P., de Leeuw, J., Wachsmuth, S., Šabanović, S., and Goldstone, R. (2017). “Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research” in ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead, Bonsignorio, F. P. ed. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore (IEEE).
Lier, F., et al., 2017. Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research. In F. P. Bonsignorio, ed. ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore. IEEE.
F. Lier, et al., “Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research”, ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead, F.P. Bonsignorio, ed., Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore, IEEE, 2017.
Lier, F., Lücking, P., de Leeuw, J., Wachsmuth, S., Šabanović, S., Goldstone, R.: Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research. In: Bonsignorio, F.P. (ed.) ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore. IEEE (2017).
Lier, Florian, Lücking, Phillip, de Leeuw, Joshua, Wachsmuth, Sven, Šabanović, Selma, and Goldstone, Robert. “Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research”. ICRA 2017 Workshop on Reproducible Research in Robotics: Current Status and Road Ahead. Ed. Fabio P. Bonsignorio. IEEE, 2017. Proceedings of IEEE International Conference on Robotics and Automation (ICRA), IEEE Xplore.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Public Domain Dedication (CC0 1.0):
Volltext(e)
Titel
Can we Reproduce it? Toward the Implementation of good Experimental Methodology in Interdisciplinary Robotics Research
Beschreibung
The insufficient level of reproducibility of pub-
lished experimental results has been identified as a core issue
in the field of robotics in recent years. Why is that? First of
all, robotics focuses on the abstract concept of computation
and the creation of technological artifacts, i.e., software that
implements these concepts. Hence, before actually reproducing
an experiment, the subject of investigation must be artificially
created, which is non-trivial given the inherent complexity [5].
Second, robotics experiments usually include expensive and
often customized hardware setups (robots), that are difficult
to operate for non-experts. Finally, there is no agreed upon
set of methods in order to setup, execute, or (re-)conduct an
experiment.
To this end, we introduce an interdisciplinary and geograph-
ically distributed collaboration project that aims at implement-
ing good experimental methodology in interdisciplinary robotics
research with respect to: a) reproducibility of required technical
artifacts, b) explicit and comprehensible experiment design, c)
repeatable/reproducible experiment execution, and d) repro-
ducible evaluation of obtained experiment data. The ultimate
goal of this collaboration is to reproduce the same experiment in
two different laboratories using the same systematic approach
which is presented in this work.
Access Level
Open Access
Zuletzt Hochgeladen
2019-09-06T09:18:47Z
MD5 Prüfsumme
dfbcc42f0487f651409c23b46e6ed934