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Machine Learning Improves Human-Robot Interaction in Productive Environments: A Review

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Advances in Computational Intelligence (IWANN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10306))

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Abstract

In the new generation of industries, including all the advances introduced by Industry 4.0, human robot interaction (HRI), by means of automatic learning and computer vision, become an important element to accomplish. HRI allows to create collaborative environments between people and robots, avoiding the latter generating a risk of occupational safety. In addition to the automatic systems, the interaction by mean of automated learning processes provides necessary information to increase productivity and minimize delivery response times by helping to optimize complex production planning processes. In this paper, it is presented a review of the technologies necessary to be considered as basic elements in all processes of industry 4.0 as a crucial linking element between humans, robots, intelligent and traditional machines.

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Acknowledgements

This work has been funded by the Spanish Government TIN2016-76515-R grant for the COMBAHO project, supported with Feder funds.

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Authors and Affiliations

  1. University of Costa Rica, San José, Costa Rica

    Mauricio Zamora & Eldon Caldwell

  2. University of Alicante, Alicante, Spain

    Jose Garcia-Rodriguez, Jorge Azorin-Lopez & Miguel Cazorla

Authors
  1. Mauricio Zamora
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  2. Eldon Caldwell
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  3. Jose Garcia-Rodriguez
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  4. Jorge Azorin-Lopez
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  5. Miguel Cazorla
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Corresponding author

Correspondence to Jose Garcia-Rodriguez .

Editor information

Editors and Affiliations

  1. Universidad de Granada, Granada, Spain

    Ignacio Rojas

  2. University of Malaga, Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Vilanova i la Geltrú, Barcelona, Spain

    Andreu Catala

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Zamora, M., Caldwell, E., Garcia-Rodriguez, J., Azorin-Lopez, J., Cazorla, M. (2017). Machine Learning Improves Human-Robot Interaction in Productive Environments: A Review. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10306. Springer, Cham. https://doi.org/10.1007/978-3-319-59147-6_25

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  • DOI: https://doi.org/10.1007/978-3-319-59147-6_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59146-9

  • Online ISBN: 978-3-319-59147-6

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