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dc.contributor.authorMann, G.
dc.contributor.authorSmall, N.
dc.contributor.authorLee, K.
dc.contributor.authorClarke, J.
dc.contributor.authorSheh, Raymond
dc.date.accessioned2017-01-30T13:55:16Z
dc.date.available2017-01-30T13:55:16Z
dc.date.created2016-04-18T19:30:28Z
dc.date.issued2015
dc.identifier.citationMann, G. and Small, N. and Lee, K. and Clarke, J. and Sheh, R. 2015. Standardized field testing of assistant robots in a mars-like environment, in Dixon, C. and Tuyls, K. (ed), Proceedings of the 16th Annual Conference, Towards Autonomous Robotic Systems (TAROS), Sep 8-10 2015, pp. 167-179. Liverpool, UK: University of Liverpool.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/36342
dc.identifier.doi10.1007/978-3-319-22416-9_20
dc.description.abstract

Controlled testing on standard tasks and within standard environments can provide meaningful performance comparisons between robots of heterogeneous design. But because they must perform practical tasks in unstructured, and therefore non-standard, environments, the benefits of this approach have barely begun to accrue for field robots. This work describes a desert trial of six student prototypes of astronaut-support robots using a set of standardized engineering tests developed by the US National Institute of Standards and Technology (NIST), along with three operational tests in natural Mars-like terrain. The results suggest that standards developed for emergency response robots are also applicable to the astronaut support domain, yielding useful insights into the differences in capabilities between robots and real design improvements. The exercise shows the value of combining repeatable engineering tests with task-specific application-testing in the field.

dc.titleStandardized field testing of assistant robots in a mars-like environment
dc.typeConference Paper
dcterms.source.volume9287
dcterms.source.startPage167
dcterms.source.endPage179
dcterms.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dcterms.source.seriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dcterms.source.isbn9783319224152
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


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