Articles & Resources

This scientific article analyzes robotized sorting systems in warehouses, where autonomous mobile robots manage and distribute products. It highlights the challenges of real-time scheduling, flow optimization, and the adaptability of these systems in response to e-commerce growth.

JR Automation presents its robotized sorting solutions for warehouses, which increase the speed and accuracy of order fulfillment. Robotized sorting reduces errors, improves efficiency, and automates repetitive tasks, which is especially useful in high-volume order processing centers.

Mecalux details the use of robots in logistics to speed up processes, reduce costs, and minimize errors. AMRs (Autonomous Mobile Robots) and AGVs (Automated Guided Vehicles) autonomously transport goods, guided by warehouse management software that optimizes flows and order preparation.

TOMRA publishes an e-book on robotized sorting in the recycling industry. It explains how robots, combined with artificial intelligence and deep learning, improve the purity of sorted materials and the efficiency of facilities. The white paper compares optical sorters and robotic arms, demonstrating how their complementarity optimizes recycling.

FedEx has introduced an AI-powered robotic arm at its Cologne hub, capable of sorting up to 1,000 packages per hour to 90 destinations. This robot reduces the physical strain on employees, improves sorting accuracy, and is part of FedEx’s overall automation strategy to meet the growth of e-commerce.

Amazon has made massive investments in robotizing its warehouses, especially in France, to speed up order fulfillment. Robots transport shelves to operators, reducing human movement and increasing processing speed. This automation aims to provide faster deliveries while creating new jobs.