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BriefROBOTICS

Self-Learning Warehouse Sorting Robot Swarm SortMaster Deployed at JD.com: Processing 20,000 Irregular Packages Per Hour

JD Logistics deploys 50 SortMaster robots at its Dongguan Asia No.1 warehouse for irregular package sorting, achieving 99.97% accuracy with 3x efficiency over manual labor

Self-Learning Warehouse Sorting Robot Swarm SortMaster Deployed at JD.com

On March 12, 2029, JD Logistics announced the official deployment of a 50-robot SortMaster sorting swarm at its Dongguan Asia No. 1 intelligent warehouse. Unlike traditional standardized parcel sorting systems, SortMaster specializes in autonomously identifying and sorting irregular packages — cylinders, irregular shapes, soft packaging, and more.

SortMaster was co-developed by JD Logistics X Division and Megvii Technology. Each robot features a 6-axis robotic arm and 3D vision system, capable of grasping packages weighing 0.1 to 25 kilograms in various shapes and placing them accurately into corresponding sorting chutes.

JD Logistics VP of Technology Liu Yang said: "Irregular package sorting is the last mile of warehouse automation. Traditional automated sorting lines can only handle standardized boxes, with irregular packages always relying on manual sorting. SortMaster's self-learning capability makes it smarter every day — within one month of going online, sorting speed increased from 14,000 to 20,000 items per hour."

SortMaster's self-learning system records every grasp's success rate and failure reason, continuously optimizing grasp strategies through reinforcement learning. The system has accumulated over 5 million grasp experiences, covering thousands of packaging types commonly seen in Chinese e-commerce logistics.