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

  • Nyasha Fadzai Thusabantu
  • G. Vadivu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

SLAM Big data Streaming IoT Robotics Localization 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Big Data AnalyticsSRM UniversityChennaiIndia
  2. 2.Department of Information TechnologySRM UniversityChennaiIndia

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