Lightweight Bindery Collaborative Robot Working With Folding And Book Sewing Machines

In bookbinding and post-printing production, stacking, palletizing, and product transportation often require heavy manual labor. The HX60S ROBOT Stacking and Palletizing Collaborative Robot, which needs no protective cage, simplifies these tasks, relieves operator physical burden, and integrates seamlessly with various binding equipment for lightweight products.

• No protective cage required - Saves workshop space and eliminates complex protective installations
• Safe human-robot collaboration - Allows safe coexistence between robot and operators
• Versatile applications - Handles stacking, palletizing, and product transportation
• High precision handling - Picks up stacks of folded signatures, sheet paper, or sewn book blocks
• Gentle product handling - Flexible grabbing mechanism prevents damage to materials
• Seamless integration - Deposits products on pallets or feeds other machines

The HX60S ROBOT is widely used in folding machines, book sewing machines, and other binding equipment for lightweight products. Its strong compatibility allows integration with various post-printing and binding equipment, adapting to diverse production line layouts and needs.

This collaborative robot provides enormous physical release for operators at delivery and transportation stages. It takes over heavy, repetitive physical work of stacking, palletizing, and transporting, reducing operator labor intensity and the risk of work-related injuries.

Specially developed for bindery production characteristics, the HX60S robot perfectly matches folding and book sewing processing procedures. It automatically collects finished book stacks at the machine outlet and realizes palletizing or cross-equipment feeding. The cage-free structure improves workshop flexibility and accessibility. Stable cyclic operation ensures consistent handling efficiency, while intelligent automation greatly optimizes manpower allocation and reduces enterprise long-term labor costs.