Amazon builds first foundation model for multirobot coordination
Not a pilot. Amazon deployed foundation models across thousands of warehouse robots to predict traffic patterns in real time.
Why it matters
Amazon is operationalizing custom foundation models for physical automation at scale. This signals how enterprise AI is moving beyond chatbots into robotics coordination—a competitive advantage few can replicate due to proprietary operational data.
The key facts
5 to knowAmazon built DeepFleet, a foundation model trained on millions of hours of fulfillment center data
Model predicts future traffic patterns for mobile robot fleets
Trained on data from Amazon fulfillment centers and sortation centers
Represents enterprise deployment of custom foundation models for physical systems, not software-only AI
Addresses multirobot coordination problem—reducing congestion and improving warehouse throughput
Go to the source
Amazon Scienceamazon.science
Publisher excerpt: Trained on millions of hours of data from Amazon fulfillment centers and sortation centers, Amazon’s new DeepFleet models predict future traffic patterns for fleets of mobile robots.