Towards enhanced live visualization based on communication delay prediction for remote AGV operation

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object 07 Sep 2021 Finland Publisher:IEEEJournal:2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )

Authors: Atmojo, Udayanto Dwi; Blech, Jan Olaf; Vyatkin; Valeriy; Bejarano, Ronal;

doi: 10.1109/etfa45728.2021.9613513 , 10.5281/zenodo.4980607 , 10.5281/zenodo.5139578 , 10.5281/zenodo.5139571 , 10.5281/zenodo.4980608 , 10.5281/zenodo.5113310

Towards enhanced live visualization based on communication delay prediction for remote AGV operation

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Abstract

This paper presents the development progress of a methodology to enhance the dynamic visualization of remote Automated Guided Vehicles (AGVs) using open source frameworks as Gazebo and ROS. The approach is based on a deterministic path pre-calculated by edge computing, accessible for a 3D web visualization cloud platform. The trajectory displayed is verified by a live position streaming from the AGV and a predicted communication delay value. By succeeding on the methodology proposed, it is expected to enhance the fidelity of the 3D live representation for every trajectory executed dynamically and autonomously by AGVs in the shop floor, leaving behind an initial scenario with low visualization fidelity due non-deterministic behavior of long-distance communication channels (including wireless networks essential for AGVs). This work aims to have an impact on improving the user experience of remote interfacing tools, supporting a web-based paradigm to visualize the behavior of cyber-physical systems in agile manufacturing.

Work in progress, 5 pages, 2 images. Presented in IEEE - ETFA 2021.

Country

Finland

Related Organizations

Luleå University of Technology
Sweden
Aalto University
Finland

Keywords

ta213, User experience, AGV, Cyber-physical systems, Trajectory, Remote visualization, Tools, Three-dimensional displays, Delays, Wireless networks, Automated Guided Vehicles, Visualization

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