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Adoption of Big Data Streaming Techniques for Simultaneous Localization and Mapping (SLAM) in IoT-Aided Robotics Devices

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Cognitive Informatics and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 768))

Abstract

The evolution of low-powered devices through the Internet of Things (IoT) has enabled the technology community to come up with solutions to problems faced by pervasive networks. IoT enables communication between devices, i.e., “machine to machine” communication. With this regard, the evolution of IoT-aided Robots was birthed. Robotic devices constantly need to communicate and share their location and the surrounding environment, a concept known as Simultaneous Localization and Mapping (SLAM). Normally this data is shared through traditional techniques, but with the exploding data universe, there is need to come up with an alternative, fast, and efficient methods for management and transfer of data. This research proposes the adoption of big data streaming techniques to manage data transfer and communication during SLAM. Ultimately, big data streaming techniques will be used in critical applications where the analytic process has to happen in real time and decisions need to be made within a short time.

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Author information

Authors and Affiliations

  1. Big Data Analytics, SRM University, Chennai, 603203, India

    Nyasha Fadzai Thusabantu

  2. Department of Information Technology, SRM University, Chennai, 603203, India

    G. Vadivu

Authors
  1. Nyasha Fadzai Thusabantu
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  2. G. Vadivu
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Corresponding author

Correspondence to Nyasha Fadzai Thusabantu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India

    Pradeep Kumar Mallick

  2. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Rangpo, India

    Akash Kumar Bhoi

  4. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, United Kingdom

    Ahmed F. Zobaa

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Thusabantu, N.F., Vadivu, G. (2019). Adoption of Big Data Streaming Techniques for Simultaneous Localization and Mapping (SLAM) in IoT-Aided Robotics Devices. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_31

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