AWS Physical AI Blog

Gaussian Splatting is dramatically lowering the cost and complexity of photorealistic 3D, making once impractical use cases like near real time capture, robotics, and simulation viable across media, construction, manufacturing, and real estate. AWS Physical AI | Blog #2 in the 3D Gaussian Splatting Series From Research Breakthrough to Business Advantage When we introduced 3D […]

Introduction: The missing layer in Physical AI on AWS Physical AI systems, those that perceive, reason, and act in the physical world, are moving fast from research into production deployments. Training policies in GPU-accelerated simulation compress months of real-world experience into hours of computing, without the cost, time, or safety risks of physical experimentation. A […]

Introduction In our previous blog, we demonstrated how NVIDIA Cosmos world foundation models on AWS address the data scarcity problem in physical AI: the challenge of training robust perception, prediction, and control models when real-world robot and sensor data is expensive, unsafe, or impractical to collect at scale. We introduced two production-ready architectures: Cosmos NIM […]

Introduction This post demonstrates how to fine-tune π0 (Pi-Zero), a 3-billion parameter flow matching Vision-Language-Action model from Physical Intelligence, on robot manipulation datasets using Amazon SageMaker HyperPod with Amazon Elastic Kubernetes Service (Amazon EKS) orchestration. Two standard robotics benchmarks provide the training data: DROID for real-world manipulation and LIBERO-10 for simulated tabletop tasks, with a […]

Introduction Imagine walking into a convenience store in Tokyo and watching a robot scan your items, bag your groceries, and restock the shelves — all without missing a beat. That’s not a vision of the future, it’s what happens when a world model running on AWS gives a robot the ability to imagine before it […]

The clean energy transition demands an unprecedented pace of solar farm deployment. But there is a bottleneck that rarely makes headlines: the physical installation of solar panels is still overwhelmingly manual, labor-intensive work. Each panel must be precisely placed onto racking structures, a process requiring careful alignment with centimeter-level accuracy. Luminous Robotics, a current MassRobotics […]

The next frontier of automation is built for human environments Industrial automation has transformed work that is predictable and repeatable. Robots can perform the same motion thousands of times with remarkable consistency, which makes them well suited to structured production environments. But much of the work that keeps industrial operations running is not always orderly. […]

Introduction Geometric intelligence visualization showing 3D CAD wireframe parts connected by AI matching arcs Every original equipment manufacturer faces the same invisible cost. An engineer designs a component, unaware that a functionally identical part already sits in a warehouse at another facility, cataloged under a different name in a different system. A procurement team launches […]

Introduction Digital twins shift manufacturing teams from reactive maintenance to predictive operations. A production-grade twin goes beyond static 3D. It ingests live data, predicts failures, and self-corrects as equipment ages. In this post, you’ll learn how to architect a multi-level digital twin on AWS using Universal Scene Description (OpenUSD) for scene composition and Spatial Data […]

Introduction Edge intelligence is transforming manufacturing and logistics. Cameras and sensors now instrument every zone of a facility: loading docks, production lines, staging areas, aisles between racking. These devices produce continuous streams of operational data, yet most of it flows into storage without producing a timely, actionable answer. A warehouse operator looking for a specific […]