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Sensors and Data in Mobile Robotics for Localisation

Sensors and Data in Mobile Robotics for Localisation

Victoria J. Hodge
Copyright: © 2023 |Pages: 16
ISBN13: 9781799892205|ISBN10: 1799892204|EISBN13: 9781799892212
DOI: 10.4018/978-1-7998-9220-5.ch133
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MLA

Hodge, Victoria J. "Sensors and Data in Mobile Robotics for Localisation." Encyclopedia of Data Science and Machine Learning, edited by John Wang, IGI Global, 2023, pp. 2223-2238. https://doi.org/10.4018/978-1-7998-9220-5.ch133

APA

Hodge, V. J. (2023). Sensors and Data in Mobile Robotics for Localisation. In J. Wang (Ed.), Encyclopedia of Data Science and Machine Learning (pp. 2223-2238). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch133

Chicago

Hodge, Victoria J. "Sensors and Data in Mobile Robotics for Localisation." In Encyclopedia of Data Science and Machine Learning, edited by John Wang, 2223-2238. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-7998-9220-5.ch133

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Abstract

The industrial robotics market is predicted to grow to USD 75.3 billion by 2026, at a rate of 12.3% per year. A key driver of this growth is Industry 4.0 digitization, often known as the next industrial (or data) revolution. Industry 4.0 digitization requires smart, flexible, and safe technologies including automation using robots in ever increasing numbers. Industry 4.0 needs autonomous mobile robots with intelligent navigation capabilities and needs to use big data processing techniques to allow these robots to navigate safely and flexibly. This article reviews the techniques used and challenges of one particular aspect of robot navigation: localisation. It focuses on robotic sensors and their data, and how information can be extracted to enable localisation.

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