• ABB Robotics introduces its first end-to-end vision-based industrial-grade physical AI solution
• Fashion Inductor functional module upgraded with AI Robot Trainer, making advanced AI easier to deploy, operate and optimize without needing specialist expertise
• Reduces engineering and commissioning effort by up to 75%, enabling system integrators to deploy and scale AI-powered fashion logistics applications faster and with less risk

ABB Robotics has launched its first end-to-end vision-based industrial-grade physical AI solution, integrating AI Robot Trainer into its Fashion Inductor module to help system integrators deploy, scale and continuously optimize AI-powered fashion logistics applications with significantly reduced effort and risk.

“Physical AI fundamentally changes what robots can do in industrial applications," said Craig McDonnell, Managing Director, Business Line Industries, ABB Robotics. "Some of the greatest opportunities for physical AI are in applications that have traditionally been difficult to automate because of high variability. Fashion Inductor with AI Robot Trainer is our first end-to-end vision-based physical AI solution, demonstrating how intelligent automation can be deployed, operated and continuously optimized at industrial scale, helping system integrators accelerate deployment, reduce project risk and maintain performance over time.”

Designed to meet the extreme variability of fashion and apparel logistics, where products, packaging and operating conditions change continuously, Fashion Inductor already delivers high-performance sorting for real-world logistics environments, with throughput of up to 1,300 items per hour per cell and picking accuracy targets above 99.5%, enabled by ABB Robotics' AI-powered Automatic Path Planning, motion accuracy and application-specific vision technology.