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Amazon has taken a crucial stage in the automation of its warehouses by deploying its millionth robot. This milestone symbolizes Amazon’s position as the largest developer and global operator of mobile robotic systems, now active in more than 300 facilities around the world. At the heart of this advance is Proteus, the first fully autonomous robot of Amazon, capable of sailing safely around employees. This technological feat testifies to Amazon’s commitment to continuous innovation and the optimization of logistics processes.
A new AI foundation for robots
Amazon recently launched Deepfleeta foundation model based on generative AI, designed to optimize robot movements through the global network of Amazon distribution centers. Developed using internal logistical data and AWS tools such as Amazon Sagemaker, this AI system promises to improve the effectiveness of the movement of the 10 %robot fleet, thus reducing delivery times and operational costs.
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Deepfleet acts as an intelligent control layer that manages thousands of autonomous mobile robots sailing in high density distribution centers. Similar to an urban traffic management system, it reduces intra-installation congestion by dynamically coordinating robots. The result results in a Increase in operational flowa closer proximity to the inventory of customers and reduced energy consumption.
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Amazon’s robotic course
The development of robotics at Amazon started in 2012 with a single type of robot focused on the transport of shelves. Today, the company has a diversified robotic fleet, each designed for a specific logistical role. The Hercules platform manipulates inventories weighing up to 567 kg. The Pegasus system is designed for precise sorting and the delivery of packages. Proteus, the first fully autonomous mobile robot in Amazon, operates safely in open areas shared with human workers.
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Amazon insists that robotics does not replace its workforce, but allows safer and more specialized roles. Since 2019, more than 700,000 employees have been trained thanks to Amazon’s internal training programs, including the Career Choice early payment program, preparing front -line workers for technical positions in systems operations, robotics and engineering maintenance.
Advanced robotics
Automated environments require 30 % more technical positions than traditional facilities. This change means that automated environments need more skilled workers. Deepfleet is part of Amazon’s plan to use AI to improve operations. By reducing robot transit times, Amazon provides faster deliveries, reduction in equipment wear and more efficient use of energy, offering direct advantages to customers and the environment.
From design to execution, Amazon maintains control of its robotic systems thanks to manufacturing based in the United States, guaranteeing quality control and facilitating rapid information back between engineers and operators. This model connects research and development, production and deployment.
Amazon’s future in the field of robotics and AI seems promising, with plans to improve Deepfleet as additional data collection. These improvements could lead to more effective inventory storage options, faster shipments in different regions and a more reliable system. How will these advances transform global logistics operations in the future?
The author relied on artificial intelligence to enrich this article.
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