Abstract
This paper explores the concept of Machine-to-Machine (M2M) communication and its potential to enable smart devices to communicate and collaborate autonomously via a case study. Specifically, the paper focuses on the integration of industrial equipment using an Automated Guided Vehicle (AGV) capable of M2M communication between non-integrated industrial machines: an AGV and a crane. The AGV used in the study was a three-wheel differential drive mobile robot which applied a 3D-lidar and an ultra-wideband radio signal system for navigation and localization. To demonstrate the M2M capabilities of the AGV, M2M communication between the AGV and the crane and the ultra-wideband radio signal system was established and tested. The results indicate that an AGV offers a flexible solution for automating tasks that involve industrial equipment which are not integrated for communication. The results provide a starting point for further research and project work involving M2M communication and AGVs in similar tasks and environments.
Original language | English |
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Title of host publication | Proceedings of the 8th Baltic Mechatronics Symposium |
Publisher | Aalto-yliopisto |
Number of pages | 5 |
ISBN (Electronic) | 978-952-64-9635-1 |
Publication status | Published - 2023 |
MoE publication type | A4 Conference publication |
Event | Baltic Mechatronics Symposium - Tallinn, Estonia Duration: 3 May 2023 → 3 May 2023 Conference number: 8 |
Conference
Conference | Baltic Mechatronics Symposium |
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Country/Territory | Estonia |
City | Tallinn |
Period | 03/05/2023 → 03/05/2023 |
Keywords
- M2M
- AGV
- Robotics
- IoT
- Ultra-Wideband
- ROS
- Industrial Big Data