Amazon mentioned its Blue Jay robotic can decide, stow, and consolidate roughly 75% of all the varied kinds of objects it shops at its websites. | Credit score: Amazon
In achievement facilities throughout the U.S., Amazon has been rolling out new expertise that works with its staff to unravel advanced challenges, from supply velocity to sustainable AI. This week Amazon unveiled Blue Jay and Undertaking Eluna, two developments it mentioned construct safer and extra environment friendly workflows for its front-line staff.
“Our newest improvements are nice examples of how we’re utilizing AI and robotics to create a good higher expertise for our staff and clients,” says Tye Brady, chief technologist for Amazon Robotics. “The purpose is to make expertise essentially the most sensible, essentially the most highly effective software it may be—in order that work turns into safer, smarter, and extra rewarding.”
Blue Jay combines 3 operations into 1 robotic
Blue Jay is a robotic that coordinates a number of arms to carry out selecting, stowing, and consolidating duties concurrently. This expertise successfully collapses three meeting traces into one, Amazon mentioned, creating higher effectivity in much less house whereas supporting front-line staff.
Amazon mentioned Blue Jay can decide, stow, and consolidate roughly 75% of all the varied kinds of objects it shops at its websites.
Amazon mentioned Blue Jay’s growth moved from idea to manufacturing in simply over a yr. It mentioned the event course of took three or extra years for earlier robots like Robin, Cardinal, or Sparrow. Amazon mentioned it was capable of cut back the event time by decreasing years of trial-and-error into months because of developments in AI.
Meet Blue Jay, our next-generation robotic system that is like having an additional set of arms for our groups 🤖. It picks, stows, and consolidates in a single streamlined workspace—shifting three separate stations into one. pic.twitter.com/UNxWcT8X9M
— Amazon (@amazon) October 22, 2025
“Our engineers had been capable of iterate on dozens of prototypes for Blue Jay with the usage of digital twins. These are a complicated type of simulation that now enable us to experiment nearly, utilizing actual physics to speed up what we construct,” Amazon mentioned. “Mixed with the AI, knowledge, and realized experiences of our present robotic fleet, we’re capable of construct programs like Blue Jay smarter and extra rapidly.”
Blue Jay is being examined in South Carolina. Amazon mentioned it permits staff to shift from repetitive bodily duties like stowing objects to higher-value work like high quality management and problem-solving, making jobs much less bodily demanding whereas guaranteeing clients obtain the suitable merchandise sooner.
Amazon earlier this yr deployed its 1 millionth robotic at a achievement heart in Japan. It joined the retailer’s international community, which it mentioned spans greater than 300 services worldwide. Amazon additionally lately launched its DeepFleet basis mannequin it mentioned will enhance the journey occasions of its robotic fleet by 10% and allow it to ship packages to clients sooner and at decrease value.
The DeepFleet AI will act as a visitors supervisor for quite a few cellular robots. Supply: Amazon
Undertaking Eluna brings agentic AI to the warehouse
Undertaking Eluna pulls in historic and real-time knowledge throughout a constructing to anticipate bottlenecks and hold operations working easily. | Supply: Amazon
Undertaking Eluna is an agentic AI mannequin that transforms how achievement facilities function. This digital software processes real-time and historic knowledge from throughout services, offering insights in pure language to assist operations groups make higher selections.
Undertaking Eluna allows operators to anticipate bottlenecks and chart environment friendly paths ahead as a substitute of scanning dozens of dashboards. Presently being deployed at a Tennessee achievement heart for the vacation buying season, Undertaking Eluna will optimize sortation and finally help preventive security measures, serving to plan ergonomic worker rotations and enhance upkeep schedules.
The system permits operators to spend much less time analyzing dashboards and extra time teaching groups, creating safer work environments whereas enabling smarter, sooner decision-making throughout Amazon’s international operations community.
