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Robotics in Industry 4.0

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Handbook of Smart Materials, Technologies, and Devices

Abstract

The advent of robotics in industrial automation has been an integral part of the fourth industrial revolution. Industry 4.0 has various components including robotics, artificial intelligence, machine learning, and internet of things, among various other technologies. The utilization of robots in industries has been on an exponential rise since they increase productivity, efficiency, accuracy, and human safety by a substantial factor. This chapter provides a detailed overview on the different types of robotic technologies that are currently being used in various industries. It also gives an insight of the various control structures and algorithms implemented in an industrial environment to execute targeted tasks with maximum accuracy. It discusses various state estimation and localization techniques as well as motion planning algorithms currently used. Alternatively, this has opened up various opportunities for research, which in turn contributes to industrial automation and optimizes current systems continuously. Applications in various industries and the current challenges faced are also discussed to provide a holistic overview to the role of robotics.

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Author information

Authors and Affiliations

  1. Robotics Institute, Carnegie Mellon University, Pittsburgh, USA

    Ashwin Misra

  2. Delhi Technological University, New Delhi, India

    Anuj Agrawal

  3. Netaji Subhas University of Technology, New Delhi, India

    Vihaan Misra

Authors
  1. Ashwin Misra
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  2. Anuj Agrawal
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  3. Vihaan Misra
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Editors and Affiliations

  1. Department of Chemistry and Environmental Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ, USA

    Chaudhery Mustansar Hussain

  2. University of Padova, Padova, Italy

    Paolo Di Sia

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Misra, A., Agrawal, A., Misra, V. (2021). Robotics in Industry 4.0. In: Hussain, C.M., Di Sia, P. (eds) Handbook of Smart Materials, Technologies, and Devices. Springer, Cham. https://doi.org/10.1007/978-3-030-58675-1_68-1

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  • DOI: https://doi.org/10.1007/978-3-030-58675-1_68-1

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