Industrial AI.
Product variation, changing conditions, and increasing labor constraints can limit the effectiveness of traditional automation. AI helps automated systems recognize patterns, make decisions, and adapt in real time, improving picking, inspection, and robotic performance while reducing manual intervention and process disruptions.
What is Industrial AI?
Industrial Artificial Intelligence (AI) helps automated systems handle variation that is difficult to manage with fixed programming alone. By analyzing data, recognizing patterns, and making real-time decisions, AI improves performance in tasks such as inspection, picking, and robotic handling. This makes automation more flexible, efficient, and reliable in changing production and intralogistics environments.
What this technology solves
Complex picking decisions of variable products
Part and parameter variation
Inconsistent quality inspection
Skilled labor shortages
How it works
Industrial AI helps automated systems recognize products, interpret changing conditions, and select the most appropriate action in real time. AI models trained on data captured by cameras, sensors, and equipment enable robots to handle variation accurately and consistently.
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Deep-learning vision for recognition, defect detection, and robotic picking.
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AI-driven motion planning and collision avoidance for efficient robot operation.
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Adaptive process control that adjusts welding parameters to measured part variation.
This technology is mainly used in
Benefits to your operation
Higher process flexibility
Consistent inspection quality
Reduced programming effort
A proven approach to robotic automation
The success of robotic automation depends on more than the technology itself. The way requirements are defined, engineering decisions are made, and systems are supported after commissioning all influence long-term operations performance.
Bringing together expertise across engineering, integration, commissioning, and support helps create solutions that perform reliably in operation.
Robotic automation that performs
“The first results are positive, and the team is pleased with the solution. They only need to feed the parcels into ROSI and no longer worry about them.”
Tom Hartmans, Project Lead at GLS
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''We're still learning and the team is still getting more comfortable with it, but at the end of the day we really starting to see the productivity, the benefits that we were expecting.''
Bill Monk, Vice President of Distribution at GNC
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