In a recent major announcement, the global e-commerce and cloud computing giant Amazon revealed two significant milestones in its robotics and artificial intelligence (AI) fields: the launch of a new AI foundation large model called Deep Fleet, and the successful deployment of over one million robots.
The launch of the Deep Fleet model aims to enhance the intelligence and efficiency of Amazon's largest industrial mobile robot fleet. The application of this model is expected to improve the efficiency of the robot fleet by 10%, accelerating package delivery while reducing operational costs and providing customers with a better service experience.
Amazon's robot deployment began in 2012, when there was only a simple robot capable of moving inventory shelves within warehouses. After years of development, Amazon has now established a diverse team of robots. These robots not only collaborate with employees but also handle heavy lifting and repetitive tasks, offering frontline workers opportunities to enhance their skills.
The construction of the Deep Fleet model is based on Amazon's extensive inventory movement dataset within sites, and it uses AWS tools, including Amazon SageMaker. This intelligent traffic management system can coordinate the movement of robots in the fulfillment network, optimize their navigation paths, reduce congestion, and enable faster processing of customer orders. At the same time, Deep Fleet brings practical advantages such as faster delivery times, lower operational costs, and reduced energy consumption.
Key points:
🌟 Amazon launches a new AI large model called Deep Fleet, aiming to improve robot travel efficiency.
🤖 The number of deployed robots has exceeded one million, forming a diverse robot team.
📈 Over 700,000 employees have enhanced their skills through training programs, driving technological advancement.
