by Andreas Hemmerle, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU
Smaller batch sizes as an alternative of mass manufacturing, extra complicated manufacturing traces, growing aggressive stress, unstable provide chains: Towards this background, the Franco-German analysis venture GreenBotAI addresses robotics.
Three most important aims are in focus—guaranteeing manufacturing continuity even in pandemic instances, strengthening Europe’s independence in manufacturing automation, and considerably lowering the power consumption of robotic functions in European factories.
Technically, GreenBotAI focuses on the response and latency instances in industrial robotics, optimized path planning, and executing well-defined duties whereas the robotic is in movement (“on the fly”). With out stopping, for instance, it’s potential to seize 2D photos for object recognition for the specified dealing with or meeting activity. On this Franco-German analysis venture, Fraunhofer IWU leads the consortium.
The venture focuses on an agile strategy to dealing with supplies and workpieces. AI algorithms are supposed to offer manufacturing extra flexibility and speed up manufacturing in varied industrial sectors. The purpose is clever robotics able to dealing with complicated duties spontaneously.
Required elements in {hardware}, state-of-the-art deep studying strategies for monitoring, enhancements in information processing and error management, are anticipated to herald a generational shift in robotics.
GreenBotAI is engaged on a number of levers to cut back power consumption by as much as 25%. These embody data-reduced AI fashions, accelerated gripping duties, and lowered computing energy.
On the Hannover Messe, held April 22–26, 2024, the venture companions will reveal what they’ve achieved as but. A person picture taken in 2D with industrial digital camera expertise (“One-Shot Demonstration”) of the part and little computing energy are adequate for the robotic to choose up, examine, and place this part as desired.
The software program Xeidana, developed at Fraunhofer IWU, verifies whether or not the robotic has picked up the proper part. Company on the sales space can strive it out themselves: They place a gear at any level on a desk within the workspace of a collaborative robotic (a robotic designed for collaboration with folks).
Primarily based on the picture info, the software program determines the positions of all objects relative to the robotic, calculates the robotic’s path, and determines the gripping place. The robotic then picks up the gear, and inspects it, relying completely on the picture info.
That is the place real-time analysis of drive information comes into play, guiding the robotic on the best way to match the picked-up gear right into a second gear, utilizing a sensible utility of AI that mimics human contact. A digital twin moreover visualizes all actual actions of the robotic.
Guests can even expertise the meeting and built-in high quality management utility stay.
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Making robots extra versatile and lowering their power consumption by as much as 25% (2024, April 9)
retrieved 9 April 2024
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