ABB
The new ABB Robotic Fashion Inductor is part of an expansion of ABB's Item Picking Family of Ai-vision powered robotic technologies.
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ABB
The new ABB Robotic Fashion Inductor is part of an expansion of ABB's Item Picking Family of Ai-vision powered robotic technologies.
ABB announced an expansion of its robotic portfolio for logistics and e-commerce supply chains with two new AI-powered functional modules to its Item Picking family.
Featuring ABB’s AI-based vision technology and tested by fashion retail and logistics companies, the Fashion Inductor and Parcel Inductor offerings tackle two critical logistics processes: item picking and sorter induction.
The company said that its new functional modules address key challenges in item singulation, picking, and sorter induction by enabling end-to-end automation in logistics and intralogistics operations
"With the growth of e-commerce set to drive increased parcel volumes of up to nine percent per year, there is a need for greater levels of speed and accuracy in picking and inducting unknown random items," said Craig McDonnell, managing director, business line industries at ABB Robotics. "At the same time, companies are finding it harder to recruit people to perform these repetitive and non-ergonomic tasks, with 37 percent of global supply chain and logistics businesses experiencing significant workforce shortages. The expansion of our AI-powered Item Picking Family addresses these challenges and enables companies to increase throughput and productivity, while reducing errors through the end-to-end automation of their processes."
By making it possible to handle items at higher accuracy and speed levels, ABB said the functional modules address the problems of picking and inducting through mixes of packages and other items in warehouses and parcel sorting depots.
Using ABB´s AI-based vision technology, both the Robotic Fashion Inductor and Robotic Parcel Inductor can handle unknown and randomly arranged items in unstructured environments, ensuring processing in high-throughput, high-mix logistics operations.
The company said both functional modules deliver picking accuracy of over 99.5 percent, even in highly dynamic environments where item sizes, shapes and packaging types vary daily. The AI system can also be trained to detect and reject non-inducible items, such as spherical or cylindrical products, ensuring reliable and efficient operations.
As well as order processing, the robots can handle random and unexpected objects for returned packages which cannot be predicted by time, type or date.
The Robotic Fashion Inductor enables singulation and sorter induction for polybagged apparel and accessories items at speeds of up to 1,300 picks per hour. The Robotic Parcel Inductor is built for small parcel singulation and sorter induction, processing boxes, bags, envelopes, and packages at up to 1,500 picks per hour in post and parcel logistics centers. The robots are integrated with ABB’s motion planning software, enabling collision-free automatic path planning once each item has been identified by the AI vision system.
Both functional modules come pre-integrated, minimizing deployment time, operational errors and setup complexity. ABB said commissioning is possible in as little as one week.
Using ABB’s Application Controller Platform (ACP), different components including robots, grippers and cameras can be integrated through a single computer and user interface. The company added that by solving the core challenges of detection, grasping and motion control through pre-trained AI models, vision, proven robotic performance and an integrated control platform, the functional modules reduce time and costs, and eliminate R&D risks for system integrators in building automated picking technologies.
Artificial Intelligence Machine Vision Machine Learning Industrial Automation Robot Arm Components Grippers Motion Control Sensors Cameras Software Cloud and Edge Data Management Fleet Management News Press Release ABB ABB Robotics Induction Intralogistics Packaging Parcel Picking Sortation
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