Amazon has introduced two new technologies, Blue Jay and Project Eluna, aimed at improving safety and efficiency in its operations. These systems are designed to work alongside employees, reducing physically demanding tasks and simplifying decision-making processes.
Tye Brady, chief technologist for Amazon Robotics, stated: “Our latest innovations are great examples of how we’re using AI and robotics to create an even better experience for our employees and customers. The goal is to make technology the most practical, the most powerful tool it can be—so that work becomes safer, smarter, and more rewarding.”
Blue Jay is a robotics system that coordinates multiple robotic arms to perform various tasks such as picking, stowing, and consolidating items within a single workspace. This approach streamlines what was previously handled by three separate stations. The development process for Blue Jay was accelerated through the use of digital twins—advanced simulations that allow engineers to experiment virtually with real physics—which helped reduce the timeline from years to just over one year.
Currently being tested at an Amazon facility in South Carolina, Blue Jay can handle about 75% of the item types stored at the site. It is expected to become a core technology for Amazon’s Same-Day sites. For customers, this could mean faster deliveries at lower costs; for employees, it offers smarter tools and improved workplace safety.
Project Eluna is an agentic AI system designed to assist operations managers by analyzing historical and real-time data across facilities. It provides recommendations to anticipate bottlenecks and optimize resource allocation. Project Eluna will be piloted at a fulfillment center in Tennessee during the holiday season with an initial focus on sortation optimization.
These innovations follow other recent advancements in Amazon’s operations technology, including Vulcan—a robot with a sense of touch—and DeepFleet, which coordinates large fleets of mobile robots across facilities.
Amazon is also expanding training programs such as Career Choice and apprenticeships in mechatronics and robotics. New educational offerings are being introduced to help employees understand how these AI-supported tools fit into their daily work and career paths.
The company states that these developments aim to reduce repetitive tasks, improve ergonomics for workers, and expand career opportunities within its operations network.
