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Towards virtual presence based on multimodal man-machine communication: How to control and communicate grasping conditions
PPM AS, Trondheim, Norway .
Chuo University, Tokyo, Japan .
2015 (English)In: 2015 IEEE/SICE International Symposium on System Integration, SII 2015, Institute of Electrical and Electronics Engineers (IEEE), 2015, 75-80 p., 7404957Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

The global industry is developing towards smaller and smaller batch sizes in production due to the high pressure on Just-in-time production. This has led to the need for providing cost efficient support to robot users, especially SMEs having limited internal resources and competence to setup, maintain and reconfigure their industrial robot systems. In this study, a new method for the remote operation of industrial robot systems is presented. The method is based upon multi-modal man-machine communication and sensor bridging to transfer huge amounts of information from the industrial robot cell to the brain of the remote operator. The general methodology is explained, however, a special focus is put on gripping and stick-slip detecting in order to provide optimal grasping conditions during robot operations; especially during remote operation.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 75-80 p., 7404957
Keyword [en]
grasping, multi-modal man-machine communication, remote operation
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:miun:diva-27843DOI: 10.1109/SII.2015.7404957ISI: 000382556600025Scopus ID: 2-s2.0-84963746622OAI: oai:DiVA.org:miun-27843DiVA: diva2:934808
Conference
8th Annual IEEE/SICE International Symposium on System Integration, SII 2015; Meijo UniversityNagoya; Japan; 11 December 2015 through 13 December 2015
Note

Conference Paper

Available from: 2016-06-09 Created: 2016-06-09 Last updated: 2016-12-21Bibliographically approved

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Ratvik Lian, Björn Harald
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf