ABB expands OmniCore EyeMotion with AI Robot Trainer

The new AI-based robot vision tool is positioned to shorten commissioning and speed production cycles in automated manufacturing applications.

AI Newsroom 1 min readPublished on this site: 16 Oct 2026, 16:41Original publication: 16 Oct 2026, 11:00Updated: 22 Oct 2026, 22:35

Illustration of a generic robotic cell with an industrial vision system and automation software

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Image credit: Illustrazione generata con AI / AI-generated illustrationIllustrative image generated with AIAI-generated editorial illustration, labelled

Company announcement

Confirmed by multiple independent sources

Specialist publication

AI editorial synthesis

Three key points

01ABB Robotics has expanded OmniCore EyeMotion with AI Robot Trainer.
02The company says commissioning time can be reduced by up to 90%.
03ABB also reports potential cycle-time reductions of up to 50%.

Why this matters · AI editorial analysis, not reported fact

For fabricators, machine shops and industrial buyers, shorter commissioning can help automated cells reach production faster and reduce the time needed to stabilize new installations. If the stated results are achieved in practice, lower cycle times could support higher throughput from robotic manufacturing systems.

ABB Robotics has announced an expansion of its OmniCore EyeMotion robot vision technology with AI Robot Trainer, a new tool aimed at automated manufacturing applications. Reported from Auburn Hills, Michigan, the launch adds an AI-oriented element to the company's robot vision portfolio.

Based on the available information, the tool is intended to reduce the time required to commission automated systems. ABB says AI Robot Trainer can cut commissioning time by up to 90%, positioning it as a productivity-focused addition to the existing OmniCore EyeMotion platform.

ABB also links the launch to operating-speed improvements on the production side. Specifically, the company states that the tool can reduce cycle times by up to 50% in automated manufacturing applications, a figure that would be significant for users seeking higher output from robotic cells.

The source material does not provide further technical detail on how the tool works, which manufacturing tasks it targets, or what hardware and software requirements may apply. It also does not include information on commercial availability, supported robot models, training workflows or deployment conditions.

From the facts provided, the product appears to be part of ABB's broader effort to strengthen its offer in robot vision and AI-enabled automation. For metalworking and industrial production users, the main takeaway is the potential to shorten startup phases and improve line efficiency, while noting that the published performance figures are presented by the company as up-to values.