Robohub.org
 

Testing the lifetime of human-machine interfaces in a few days


by and
07 March 2016



share this:
The developed robot system is capable of simulating thousands of typical usage scenarios on any kind of device with a human-machine interface, such as a touchscreen. (Source: Fraunhofer IPA/Photo: Rainer Bez)

The developed robot system is capable of simulating thousands of typical usage scenarios on any kind of device with a human-machine interface, such as a touchscreen. (Source: Fraunhofer IPA/Photo: Rainer Bez)

Thousands of repetitions in the space of just a few days: while manually impossible, this can be accomplished by a newly developed robot system from Fraunhofer IPA. Whether it’s a matter of pressing keys, inputting data or using fingers or a stylus, e.g. for a signature pad – the robot system is capable of realistically simulating typical applications of human-machine interfaces. The system can test how long the materials human-machine-interfaces are made of and the associated functions remain fully functional. This provides device manufacturers with accurate knowledge about the quality of their products, which is of importance for possible warranty claims. In addition, customers can gain accurate information on durability.

Robot imitates typical usage with its forces and path

“For a device manufacturer, automated testing offers the advantage that the performed conditions are always identical and the test scenarios are reproducible and therefore comparable. The motion of the robot system can be precisely controlled to guarantee that the testing is completely traceable and verifiable,” says Geravand.

For each device, the researchers collaborate with the manufacturer and draw up the typical usage scenarios and loading profiles to set up the robot system. This includes, in particular, setting up the end effector, which is capable of holding a variety of tools – similar, for example, to a finger or stylus – and simulating various loading scenarios.

“We’ve succeeded in setting up the robot system so that it is capable of accurately simulating an application such as the use of a cash machine. Force sensors in a robot-guided finger-like end effector accurately measure and evaluate the force exerted by the user in a multiplicity of interaction cycles,” explains Milad Geravand, research assistant at Fraunhofer IPA. The accuracy of the tests is guaranteed by measuring systems as well as by regular checks by the employees.

The programming of the robot system depends on features that describe the interaction performed by the user on the devices with human-machine interfaces. The researchers measure and process these features in authentic situations with test subjects. That could include the duration and force registered during the interaction. If the device under test is a touchscreen, it might also be relevant where the action is typically performed. This data is used by the scientists to suitably configure the forces and path of the robot.

Uniform quality of testing

By the end of each intense test, device manufacturers are provided with a detailed report on the tests and results as well as with a brief summary, which can also be used as a reference for customers. The scientists are ready to employ this technology for life-cycle evaluation of human-machine-interfaces either in the labs at Fraunhofer IPA or on the manufacturer’s site by setting up the testing systems.



tags: , ,


Fraunhofer IPA Fraunhofer is the largest research organization for applied research in Europe.
Fraunhofer IPA Fraunhofer is the largest research organization for applied research in Europe.

Martin Haegele is Head of Department Robots and Assistive Systems at Fraunhofer Institute of Manufacturing Engineering and Automation IPA in Stuttgart/Germany.
Martin Haegele is Head of Department Robots and Assistive Systems at Fraunhofer Institute of Manufacturing Engineering and Automation IPA in Stuttgart/Germany.


Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.

Resource-sharing boosts robotic resilience

  31 Mar 2026
When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.

Robot Talk Episode 150 – House building robots, with Vikas Enti

  27 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes.

A history of RoboCup with Manuela Veloso

and   24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Robot Talk Episode 149 – Robot safety and security, with Krystal Mattich

  20 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Krystal Mattich from Brain Corp about trustworthy autonomous robots in public spaces.



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence