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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/137704
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dc.contributor.authorCorke, P.-
dc.contributor.authorDayoub, F.-
dc.contributor.authorHall, D.-
dc.contributor.authorSkinner, J.-
dc.contributor.authorSünderhauf, N.-
dc.contributor.editorAsfour, T.-
dc.contributor.editorYoshida, E.-
dc.contributor.editorPark, J.-
dc.contributor.editorChristensen, H.-
dc.contributor.editorKhatib, O.-
dc.date.issued2022-
dc.identifier.citationProceedings of the 19th International Symposium of Robotic Research (ISRR 2019), as published in Springer Proceedings in Advanced Robotics, 2022 / Asfour, T., Yoshida, E., Park, J., Christensen, H., Khatib, O. (ed./s), vol.20, pp.987-1003-
dc.identifier.isbn9783030954581-
dc.identifier.issn2511-1256-
dc.identifier.issn2511-1264-
dc.identifier.urihttps://hdl.handle.net/2440/137704-
dc.description.abstractThe fields of computer vision and robotics are both children of the artificial intelligence program that was spawned by the Dartmouth Conference in 1956. In recent decades the fields have diverged in terms of conferences and journals, research methodology and research rate. From a robotics perspective it seems that computer vision is in the fast lane while robotics is stuck in the slow lane. Roboticists hold a fundamental belief in the importance of experimentation but could it be that experiments are actually holding us back? Or is it that we are doing experiments poorly?-
dc.description.statementofresponsibilityPeter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf-
dc.language.isoen-
dc.publisherSpringer-
dc.relation.ispartofseriesSpringer Proceedings in Advanced Robotics; 20-
dc.rights© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG-
dc.source.urihttps://link.springer.com/book/10.1007/978-3-030-95459-8-
dc.subjectRobotics; Computer vision; Research methodology-
dc.titleWhat Can Robotics Research Learn from Computer Vision Research?-
dc.typeConference paper-
dc.contributor.conferenceInternational Symposium of Robotic Research (ISRR) (6 Oct 2019 - 10 Oct 2019 : Hanoi, Vietnam)-
dc.identifier.doi10.1007/978-3-030-95459-8_61-
dc.publisher.placeCham, Switzerland-
dc.relation.granthttp://purl.org/au-research/grants/arc/CE140100016-
pubs.publication-statusPublished-
dc.identifier.orcidDayoub, F. [0000-0002-4234-7374]-
Appears in Collections:Australian Institute for Machine Learning publications
Computer Science publications

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