Potential of light-based navigation in industrial applications

In a German Federal Ministry of Education & Research (BMBF) joint project, OSRAM, Götting, KEB Automation and Fraunhofer IEM have researched the possibilities of light-based positioning, particularly for use in industrial applications. At the end of the project, the team came to a promising conclusion: navigating by light is practical, flexible and reliable - and promises great potential for Industry 4.0.

The results of the three-year collaborative research project is a positioning system that navigates driverless transport vehicles by light through a logistics or production hall. Positioning takes place using LED lights mounted on the hall ceiling, each of which emits a clear identifier via modulated (i.e. specific pulsating) light. This modulation is completely invisible to the human eye, so no changes are necessary to the existing lighting situation.

Explaining the advantages of the approach, Christian Fechtelpeter, scientist at Fraunhofer IEM, comments: "Easy and flexible navigation for autonomous vehicles is possible using light-based positioning. If, in the future, we link these to the existing LED ceiling lighting, the technology could be a key driver for Industry 4.0."

For illustrative purposes, navigation was implemented in the modular transport system KATE (Kleine autonome Transporteinheit = small autonomous transport unit) from the company Götting. While the standard version of the vehicle is controlled using optical guidelines and transponders installed on the floor, track guidance can now be achieved using the new system. OSRAM modified standard industrial LED lights and developed a camera-based sensor system to receive the modulated light. An in-vehicle evaluation unit developed by Götting processes the camera and other sensor data to facilitate navigation via a user interface. The inter-disciplinary development of the complete system was coordinated by Fraunhofer IEM using various methods of system engineering. The primary factors for success were the model-based specification of the overall architecture, as well as the test case planning.

As an application partner, KEB used its own electronic production processes to illustrate - and therefore validate - the application in use under real conditions. This shows that light-based positioning offers advantages over other navigation technologies when it is ready for market. Companies can easily use their existing lighting infrastructure. Since obstacles on the production floor do not interrupt communication between sender and receiver, navigation is largely trouble-free. The route taken by driverless transport systems can be flexibly reprogrammed, which allows processes to be streamlined and workflows smoothed.

The LiONS project (light sensor-based positioning and navigation services for autonomous systems) was funded from October 2015 to December 2018 by BMBF as part of the announcement of the promotion of "Sensor-based Electronic Systems for Applications for Industry 4.0 (SElekt I4.0)".

Project partners:

  • OSRAM developed both the modified LED lights and the corresponding sensors for the transport vehicle
  • Götting KG is developing a special evaluation module in the project for its driverless transport system KATE
  • As an application partner, KEB used its own production processes to illustrate - and thus validate - the application in use under real conditions
  • Fraunhofer IEM was responsible for the overall system design, as well as test case planning and coordinated the entire project

In the sense of model-based systems engineering, the system of light-based positioning was conceived on a holistic and model-assisted basis, whereby all necessary departments were included from the beginning.

Follow the links for more information about the project (www.lions-lbs.de), KEB Combivert H6 or T6 APD (www.keb.co.uk) or to watch the demo video.

KEB (UK) Ltd

5 Morris Close
Park Farm Industrial Estate
Wellingborough
NN8 6XF
UNITED KINGDOM

+44 (0)1933 402220

info@keb.co.uk

www.keb.co.uk

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