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ko-br

End 3AM Robot Meltdowns with Human-Trained AI for Palletizing

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Description

ko-br provides an advanced automation solution centered around its vision-guided AI system, designed to tackle the complexities of palletizing in environments with high SKU variability, often referred to as SKU chaos. This system leverages human-trained AI vision, developed based on real-world conditions rather than controlled lab simulations, allowing it to effectively manage random box types and sizes while adapting to environmental factors like dust and changing light conditions.

A key aspect of ko-br is its self-healing autonomy, enabling the system to automatically recover from common issues such as grip slips or jams significantly faster than industry standards, minimizing downtime. Designed with system integrators in mind, it aims to reduce emergency support calls and protect profit margins. The platform emphasizes ease of use through plug-and-play deployment, offering OEM-agnostic control compatible with major robot manufacturers like ABB, KUKA, and Universal Robots (UR) without requiring any coding expertise.

Key Features

  • SKU Chaos Mastery: Handles mixed-box palletizing using human-trained AI vision.
  • Self-Healing Autonomy: Automatically recovers from grip slips and jams in an average of 8.3 seconds.
  • Real-World Vision Adaptation: Operates reliably despite dust storms and lighting changes.
  • OEM-Agnostic Control: Plug-and-play deployment with ABB, KUKA, and Universal Robots (UR).
  • No-Code Operation: Simplifies setup and management without requiring programming.
  • Margin Protection for Integrators: Reported 92% fewer emergency calls by system integrators.

Use Cases

  • Automated palletizing in warehouses and distribution centers
  • Handling mixed SKU and random box order fulfillment
  • Improving reliability and reducing downtime for robotic palletizing systems
  • Integrating AI vision capabilities with existing industrial robots

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