A quantifiable stratification strategy for tidy-up in service robotics

Yan, Z. orcid.org/0000-0002-0393-8665, Crombez, N., Buisson, J. et al. (3 more authors) (2021) A quantifiable stratification strategy for tidy-up in service robotics. In: Proceedings of 2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO). 2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 08-10 Jul 2021, Virtual conference (Tokoname, Japan). IEEE (Institute of Electrical and Electronics Engineers) , pp. 182-187. ISBN 9781665449540

Abstract

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Item Type: Proceedings Paper
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Dates:
  • Published: 28 September 2021
  • Published (online): 28 September 2021
  • Accepted: 27 April 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
The Royal Society
RGS\R2\202432
Depositing User: Symplectic Sheffield
Date Deposited: 09 Jun 2021 08:27
Last Modified: 28 Sep 2022 00:15
Status: Published
Publisher: IEEE (Institute of Electrical and Electronics Engineers)
Refereed: Yes
Identification Number: 10.1109/ARSO51874.2021.9542842
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