Robohub.org
 

Innovative programming software used to generate robot welding programs

by
16 July 2018



share this:

Since programming is an extremely time-consuming business, small and medium-sized enterprises (SME) are often forced to manage without robots. Researchers from Fraunhofer IPA have therefore developed the software RobotKit specially for welding tasks. In an initial test scenario, the kit reduced programming times from 90 down to just 7 minutes.

At its production facility in St. Leon-Rot in Baden-Württemberg in South Germany, Piccolo K+L Behältertechnik GmbH manufactures skeleton and transport containers for the automotive industry. Because the company produces relatively small volumes with high variant diversity, the assembly workers at the factory perform all welding tasks by hand.

Under such conditions, the use of robot systems is simply not cost-effective. Reason: The manufacturer-specific programming languages are so complex that experts must be called in to program a robot for new components. In addition, under present circumstances it would take 90 minutes to program a new welding task, even for a simple component. This is acceptable for mass production but not for lot sizes of 20 to 100 pieces, which is often the case at Piccolo K+L Behältertechnik GmbH.

The lack of skilled workers is also a problem when high-quality welded parts are manufactured: This requires sound knowledge and longstanding experience. But suitably skilled workers are becoming increasingly scarce. It therefore makes sense to increasingly automate production processes and transfer existing expert knowledge to robot systems. For SMEs to use welding robots profitably, they need to be adapted to flexible, customer-specific production methods.

To achieve this, researchers working in the Department of Robot and Assistive Systems at Fraunhofer IPA have developed a manufacturer-independent software RobotKit specifically for welding tasks.

The software identifies possible weld seams on components in the CAD model and automatically generates a complete robot program with all movement commands.

Via a graphic interface, welders can simulate the entire process and correct it as required. This enables end-users to start using a robot for new welding tasks without delay and without the need for in-depth programming knowledge.

If product variants change, the respective welding tasks are easy and fast to reconfigure. To move parts freely on the welding table and thus reduce the necessary devices, the position of components can be accurately measured by the integrated 3-D sensor system and the robot program adjusted automatically.

Any geometric discrepancies on components can also be identified, such as those resulting from inaccuracies arising in the course of prior manual welding processes. The software then automatically adjusts the robot trajectory and processes parameters, doing away with the need for manual re-teaching in off-line programming mode.

Thanks to the intuitive software with the innovative algorithms for calculating trajectories and identifying components in 3-D, in an initial test scenario robot, programming times at Piccolo K+L Behältertechnik GmbH could be cut from 90 to just 7 minutes.

Based on these promising results, the technology is now being developed for serial application as one out of eight pilot projects in ROBOTT-NET.



tags: , ,


Thilo Zimmermann





Related posts :



Robot Talk Episode 99 – Joe Wolfel

In the latest episode of the Robot Talk podcast, Claire chatted to Joe Wolfel from Terradepth about autonomous submersible robots for collecting ocean data.
22 November 2024, by

Robot Talk Episode 98 – Gabriella Pizzuto

In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.
15 November 2024, by

Online hands-on science communication training – sign up here!

Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.
13 November 2024, by

Robot Talk Episode 97 – Pratap Tokekar

In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.
08 November 2024, by

Robot Talk Episode 96 – Maria Elena Giannaccini

In the latest episode of the Robot Talk podcast, Claire chatted to Maria Elena Giannaccini from the University of Aberdeen about soft and bioinspired robotics for healthcare and beyond.
01 November 2024, by

Robot Talk Episode 95 – Jonathan Walker

In the latest episode of the Robot Talk podcast, Claire chatted to Jonathan Walker from Innovate UK about translating robotics research into the commercial sector.
25 October 2024, by





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association