Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/120135
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Type: Conference paper
Title: Cartman: the low-cost Cartesian manipulator that won the Amazon Robotics Challenge
Author: Morrison, D.
Tow, A.
McTaggart, M.
Smith, R.
Kelly-Boxall, N.
Wade-Mccue, S.
Erskine, J.
Grinover, R.
Gurman, A.
Hunn, T.
Lee, D.
Milan, A.
Pham, T.
Rallos, G.
Razjigaev, A.
Rowntree, T.
Vijay, K.
Zhuang, Z.
Lehnert, C.
Reid, I.
Corke, P.
Leitner, J.
Citation: 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018 / vol.abs/1709.06283, pp.7757-7764
Publisher: IEEE
Issue Date: 2018
Series/Report no.: IEEE International Conference on Robotics and Automation ICRA
ISBN: 9781538630815
ISSN: 1050-4729
2577-087X
Conference Name: IEEE International Conference on Robotics and Automation (ICRA) (21 May 2018 - 25 May 2018 : Brisbane, Australia)
Statement of
Responsibility: 
D. Morrison, A.W. Tow, M. McTaggart, R. Smith, N. Kelly-Boxall, S. Wade-McCue, J. Erskine, R. Grinover, A. Gurman, T. Hunn, D. Lee, A. Milan, T. Pham, G. Rallos, A. Razjigaev, T. Rowntree, K. Vijay, Z. Zhuang, C. Lehnert, I. Reid, P. Corke, and J. Leitner
Abstract: The Amazon Robotics Challenge enlisted sixteen teams to each design a pick-and-place robot for autonomous warehousing, addressing development in robotic vision and manipulation. This paper presents the design of our custom-built, cost-effective, Cartesian robot system Cartman, which won first place in the competition finals by stowing 14 (out of 16) and picking all 9 items in 27 minutes, scoring a total of 272 points. We highlight our experience-centred design methodology and key aspects of our system that contributed to our competitiveness. We believe these aspects are crucial to building robust and effective robotic systems.
Rights: © 2018 IEEE
RMID: 0030111959
DOI: 10.1109/ICRA.2018.8463191
Grant ID: http://purl.org/au-research/grants/arc/CE140100016
Appears in Collections:Computer Science publications

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