Task quality optimization in collaborative robotics

Christopher J. Conti, Aparna Varde, Weitian Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper addresses commonsense knowledge (CSK) to enhance human-robot collaboration (HRC) in large scale smart manufacturing. As big data in collaborative robotics grows, CSK in useful to achieve task optimization as depicted in our simulation studies and laboratory experiments, extendable to real-world applications.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Big Data, Big Data 2020
EditorsXintao Wu, Chris Jermaine, Li Xiong, Xiaohua Tony Hu, Olivera Kotevska, Siyuan Lu, Weijia Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5652-5654
Number of pages3
ISBN (Electronic)9781728162515
DOIs
StatePublished - 10 Dec 2020
Event8th IEEE International Conference on Big Data, Big Data 2020 - Virtual, Atlanta, United States
Duration: 10 Dec 202013 Dec 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Big Data, Big Data 2020

Conference

Conference8th IEEE International Conference on Big Data, Big Data 2020
Country/TerritoryUnited States
CityVirtual, Atlanta
Period10/12/2013/12/20

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