ABB Launches AI Robot Trainer Tool

The new vision software allows users to train and deploy robotics applications without needing specialized AI expertise.

Updated on Oct. 16, 2026 in Robotics

Bold flat-color editorial illustration showing a mechanical robot arm reaching toward a geometric cubic structure, representing industrial automation.
ABB released an artificial intelligence vision tool designed to streamline the training and deployment of industrial robotic systems for manufacturers. AI Illustration. Upload story photo >

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ABB has released a new artificial intelligence vision tool designed to streamline the training and deployment of industrial robotic systems. The software utilizes a guided workflow and chatbot to assist users in integrating image data into robot movements.

Why it matters

By simplifying the development process, the system enables manufacturers to implement complex AI applications without requiring advanced expertise in machine learning. This accessibility aims to accelerate the adoption of automated robotics across various industrial sectors.

The AI Robot Trainer integrates image acquisition, model training, and deployment with compatibility for various third-party sensors. It pairs with OmniCore EyeMotion for automated collision-free path planning using synthetic and real-world image data.

The players

ABB

ABB is a global technology company specializing in electrification, automation, and robotics for industrial and utility customers.

The details

The platform supports diverse applications such as 3D bin picking, quality inspection, and assembly by converting visual information into actionable robot movements. A guided workflow and AI chatbot simplify the development phase, significantly lowering the barrier for entry for factory operators.

Timeline

  1. October 16, 2026: ABB officially introduced the AI Robot Trainer tool.

The Tech Race

The AI Robot Trainer integrates with the OmniCore EyeMotion, marking an evolution in the ease of programming for the OmniCore robot control platform. This development signals a broader transition toward low-code automation environments designed to replace legacy manual programming tasks.

Factory operators and system integrators can expect significantly faster project deployment times and improved throughput efficiency. The guided AI workflow minimizes the training hurdle for staff, allowing for quicker adoption of automated picking and assembly solutions.

The takeaway

The move reflects a growing industry trend toward simplifying AI integration to make automation tools more accessible for non-specialized staff. Users looking to optimize factory floors should evaluate whether their existing vision hardware is compatible with the new software framework.

Further reading

Learn more about the latest innovations in industrial automation in the Robotics section.

Source note: This article includes information reported by Assembly Magazine.

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