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Interacting with Industrial Robots: A Motion-based Interface

Authors:

Linn Gustavsson Christiernin,

Svante AugustssonAuthors Info & Claims

AVI '16: Proceedings of the International Working Conference on Advanced Visual Interfaces

Pages 310 - 311

https://doi.org/10.1145/2909132.2926073

Published: 07 June 2016 Publication History

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Abstract

Collaborative industrial robot cells are becoming more and more interesting for industry through the new Industrie 4.0 initiative. In this paper we report early work on motion-based interaction with industrial robots. Human motion is tracked by a Kinect camera and translated into robot code. A group of tests subjects are asked to interact with the system and their activities are observed. Lessons learned on interaction challenges in a robot cell are reported.

References

[1]

G. Tang, S Asif and P. Webb, (2015) "The integration of contactless static pose recognition and dynamic hand motion tracking control system for industrial human and robot collaboration", Industrial Robot: An International Journal, Vol. 42, Iss 5 pp 416--428.

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[2]

T. Ende, S. Haddadin, S. Parusel, T, Wusthoff, M. Hassenzahl, A. Albu-Schaffer. A human-centered approach to robot gesture based communication within collaborative working processes, In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, CA, USA, September 2011, pp. 3367--3374.

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[3]

B. Gleeson, K. Maclean, A. Haddadi, E. Croft, and J. Alcazar, Gestures for industry Intuitive human-robot communication from human observation, In Proc. of the 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Tokyo, Japan, March 2013, pp. 349 - 356.

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ÇAVUŞ Ö(2022)Occupational Health and Safety Practises in the Industry 4.0 ProcessEndüstri 4.0 Sürecinde İş Sağlığı ve Güvenliği UygulamalarıPamukkale Journal of Eurasian Socioeconomic Studies10.34232/pjess.11851679:2(147-169)Online publication date: 31-Dec-2022
https://doi.org/10.34232/pjess.1185167
Dong LWang J(2022)Intelligent Safety Ergonomics: A Cleaner Research Direction for Ergonomics in the Era of Big DataInternational Journal of Environmental Research and Public Health10.3390/ijerph2001042320:1(423)Online publication date: 27-Dec-2022
https://doi.org/10.3390/ijerph20010423
Robinson NTidd BCampbell DKulić DCorke P(2022)Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic ReviewACM Transactions on Human-Robot Interaction10.1145/357073112:1(1-66)Online publication date: 5-Dec-2022
https://dl.acm.org/doi/10.1145/3570731
Show More Cited By

Interacting with Industrial Robots: A Motion-based Interface
1. Computer systems organization
  1. Embedded and cyber-physical systems

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Published In

AVI '16: Proceedings of the International Working Conference on Advanced Visual Interfaces

June 2016

400 pages

ISBN:9781450341318

DOI:10.1145/2909132

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 07 June 2016

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AVI '16: International Working Conference on Advanced Visual Interfaces

June 7 - 10, 2016

Bari, Italy

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AVI '16 Paper Acceptance Rate 20 of 96 submissions, 21%;

Overall Acceptance Rate 128 of 490 submissions, 26%

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ÇAVUŞ Ö(2022)Occupational Health and Safety Practises in the Industry 4.0 ProcessEndüstri 4.0 Sürecinde İş Sağlığı ve Güvenliği UygulamalarıPamukkale Journal of Eurasian Socioeconomic Studies10.34232/pjess.11851679:2(147-169)Online publication date: 31-Dec-2022
https://doi.org/10.34232/pjess.1185167
Dong LWang J(2022)Intelligent Safety Ergonomics: A Cleaner Research Direction for Ergonomics in the Era of Big DataInternational Journal of Environmental Research and Public Health10.3390/ijerph2001042320:1(423)Online publication date: 27-Dec-2022
https://doi.org/10.3390/ijerph20010423
Robinson NTidd BCampbell DKulić DCorke P(2022)Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic ReviewACM Transactions on Human-Robot Interaction10.1145/357073112:1(1-66)Online publication date: 5-Dec-2022
https://dl.acm.org/doi/10.1145/3570731
Gao HLu SWang T(2020)Motion path planning of 6-DOF industrial robot based on fuzzy control algorithmJournal of Intelligent & Fuzzy Systems10.3233/JIFS-179600(1-10)Online publication date: 13-Jan-2020
https://doi.org/10.3233/JIFS-179600
Badri ABoudreau-Trudel BSouissi A(2018)Occupational health and safety in the industry 4.0 era: A cause for major concern?Safety Science10.1016/j.ssci.2018.06.012109(403-411)Online publication date: Nov-2018
https://doi.org/10.1016/j.ssci.2018.06.012

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Study on the Configuration Space Based Algorithmic Path Planning of Industrial Robots in an Unstructured Congested Three-Dimensional Space: An Approach Using Visibility Map

Research on automatic control algorithms for the motion of redundant robotic arms of industrial robots

Development of CAM system based on industrial robotic servo controller without using robot language

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