What is ko-br?
ko-br provides an advanced, vision-guided AI system specifically engineered to automate palletizing processes, particularly in challenging warehouse environments characterized by SKU chaos. Leveraging human-trained AI vision, it adeptly handles mixed-box scenarios and unpredictable situations, moving beyond controlled lab simulations to perform reliably in real-world conditions. The system is designed to significantly reduce the complexities and failures often associated with traditional robotic palletizing.
A key advantage of ko-br is its self-healing autonomy, which allows it to recover from common issues like grip slips or jams rapidly, drastically reducing downtime compared to industry standards. This robustness translates into significant margin protection for system integrators by minimizing emergency calls and operational disruptions. Furthermore, ko-br offers plug-and-play deployment and is OEM-agnostic, supporting integration with various robot brands like ABB, KUKA, and UR without requiring coding expertise.
Features
- SKU Chaos Mastery: Human-trained vision handles mixed-box palletizing in real-world conditions.
- Self-Healing Autonomy: Automatically recovers from grip slips and jams (average 8.3s recovery).
- OEM-Agnostic Control: Plug-and-play deployment across different robot brands (ABB, KUKA, UR).
- No-Coding Required: Simplifies integration and operation.
- Real-World Trained Vision: Adapts to warehouse variables like dust and lighting changes.
- Margin Protection: Reduces emergency calls and operational costs for system integrators (reported 92% reduction).
Use Cases
- Automating palletizing in warehouses with diverse and mixed SKUs.
- Improving the reliability of robotic palletizing systems in dynamic environments.
- Reducing downtime and emergency calls related to cobot failures in logistics.
- Integrating automated palletizing solutions across different robot manufacturers without complex coding.
- Enhancing warehouse automation efficiency for system integrators and their clients.
