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Applications of Learning Algorithms to Industrial Robotics

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Advances in Italian Mechanism Science (IFToMM ITALY 2020)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 91))

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Abstract

Learning algorithms are becoming popular in industrial manufacturing thanks to their promise to make a robot conscious of its surroundings and capable of human-like abilities, gaining greater flexibility with respect to traditional robotic systems. The aim is to operate also complex tasks without the need for explicit instructions, permitting the creation of fully autonomous systems where human operators are not included. A panoramic of the current state of the art in industrial fields is presented, starting from object recognition and grasping pose detection, to task planning and applications based on demonstrations by the operator.

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Funding

This research was funded by University of Padua - Program BIRD 2018 - Project no. BIRD187930.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Padova, Via Venezia 1, Padova, Italy

    Giulio Cipriani, Matteo Bottin & Giulio Rosati

Authors
  1. Giulio Cipriani
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  2. Matteo Bottin
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  3. Giulio Rosati
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Corresponding author

Correspondence to Giulio Cipriani .

Editor information

Editors and Affiliations

  1. University of Naples Federico II, Naples, Italy

    Vincenzo Niola

  2. University of Udine, Udine, Italy

    Alessandro Gasparetto

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Cipriani, G., Bottin, M., Rosati, G. (2021). Applications of Learning Algorithms to Industrial Robotics. In: Niola, V., Gasparetto, A. (eds) Advances in Italian Mechanism Science. IFToMM ITALY 2020. Mechanisms and Machine Science, vol 91. Springer, Cham. https://doi.org/10.1007/978-3-030-55807-9_30

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