What is it about?
The paper presents insights from an industrial project where a robotic arm was employed to automate the testing of automotive displays. The robot was dynamically programmed to sequentially touch multiple points on the display, with the exact coordinates pre-defined. These coordinates were then cross-verified against the data received from the display, and a report was generated to calculate the percentage failure rate caused by false triggers in the display software.
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Why is it important?
This research would be helpful for people researching in Robotics and Automated software testing domains. Paper could be also used by Artificial intelligence-AI, Machine Learning -ML, Data science- DS researchers.
Perspectives
Opportunity for robotics enthusiasts to learn something new and club the idea along with modern concepts such as Artificial intelligence-AI, Machine Learning -ML, Data science- DS
Avadhut Mali
Chandigarh University
Read the Original
This page is a summary of: Development of automotive display touch test automation tool for bug detection, January 2025, American Institute of Physics,
DOI: 10.1063/5.0269447.
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