Self-Variable Robots Successfully Test Automated Package Sorting System, Achieving Processing Speed of 1,816 Items Per Hour

The X Square Robot conducted a live demonstration on August 12, 2026, showcasing its automated parcel sorting system in real-world applications. The system effectively handles parcel sorting tasks in the logistics industry, achieving a processing speed of 1,816 parcels per hour during the live broadcast, with an accuracy rate exceeding 98%.

Innovative Technology Enhancing Parcel Sorting Efficiency

X Square Robot focuses on building embodied intelligence for general-purpose robots and foundational models. Utilizing its proprietary WALL-B AI foundational model, combined with a high-performance six-axis robotic arm, it has successfully overcome several challenges in traditional parcel sorting. The system can organize and transport disordered stacks of parcels after unloading to the sorting line, significantly improving logistics operational efficiency.

Core Capabilities of Embodied Intelligence

Wang Qian, founder and CEO of X Square Robot, stated that the key to logistics automation lies in whether robots can continuously make correct decisions, especially when the state of parcel stacks changes. The WALL-B model can instantly assess each parcel and its surrounding environment, adjusting operational strategies based on changes in the on-site conditions, enabling the robot to respond to unforeseen situations in the physical world.

During the live broadcast, the six-axis robotic arm demonstrated its flexibility by successfully retrieving a parcel that had deviated from its path and orienting the label towards the scanner before the parcel reached the conveyor belt, enhancing barcode scanning efficiency and reducing returns and manual processing costs caused by poor parcel positioning.

• Parcels processed per hour: 1,816
• Accuracy rate: Exceeding 98%
• Core technology: WALL-B AI foundational model and six-axis robotic arm

The innovative technology of X Square Robot not only enhances the efficiency of parcel sorting but also showcases its broader vision in the field of embodied intelligence, aiming to enable robots to perceive, reason, and act in complex physical environments, realizing the practicality of AI in the real world.