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.
| Original language | English |
|---|---|
| Title of host publication | Encyclopedia of Data Science and Machine Learning |
| Publisher | IGI Global |
| Pages | 2223-2238 |
| Number of pages | 16 |
| ISBN (Electronic) | 9781799892212 |
| ISBN (Print) | 9781799892205 |
| DOIs | |
| Publication status | Published - Jan 2023 |
Bibliographical note
Publisher Copyright:© 2023 by IGI Global. All rights reserved.
Keywords
- Industry 4.0
- Internet of Things
- IoT
- Mobile Robots
- Sensor Fusion
- Data Analytics
- Autonomy
- Navigation