Machine-to-Machine Communication of Automated Guided Vehicle with Industrial Equipment

Aku Karhinen, Aleksi Pippuri, Matias Lindberg, Niko Lappi, Pejman Habibiroudkenar, Panu Kiviluoma, Petri Kuosmanen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


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 languageEnglish
Title of host publicationProceedings of the 8th Baltic Mechatronics Symposium
Number of pages5
ISBN (Electronic)978-952-64-9635-1
Publication statusPublished - 2023
MoE publication typeA4 Conference publication
EventBaltic Mechatronics Symposium - Tallinn, Estonia
Duration: 3 May 20233 May 2023
Conference number: 8


ConferenceBaltic Mechatronics Symposium


  • M2M
  • AGV
  • Robotics
  • IoT
  • Ultra-Wideband
  • ROS
  • Industrial Big Data


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