AWS Physical AI Blog

Category: Generative AI

Bringing a Frontier World Model to the Convenience Store: Inside Telexistence’s DreamZero Experiment on AWS

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 […]

Teaching Robots to See: How Luminous Robotics Is Accelerating Energy Infrastructure Construction with Vision-Action AI

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 […]

Edge Impulse and AWS: Combining Edge Inference with Cloud Intelligence for Physical AI

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 […]

How Config Scales Robot Training Data Without Scaling Data Collection

Config Intelligence Inc. (Config) is building the data infrastructure and technology necessary to realize General-Purpose Robot Foundation Models. They operate an end-to-end pipeline that spans from large-scale data collection and preprocessing to model training and real-world deployment, enabling robots to perform bimanual manipulation tasks reliably across diverse environments. To date, they have accumulated more than […]

Industrial Physical AI on AWS with Galeo Tech and Multiverse Computing

Co-authored by AWS, Galeo Tech, and Multiverse Computing Introduction Physical AI, the class of systems that perceive, reason, and act in the real world, has a familiar progression. The initial prototype works and showcases a lot of promise. The second prototype extends functionality to a different device. The harder question comes next: how do we […]

Rendering Digital Humans with Amazon EC2 Spot Instances

Amazon Web Services would like to thank the UneeQ Engineering team for their contribution to this post Introduction UneeQ creates AI-powered digital humans that engage in natural conversations while displaying realistic facial expressions through real-time high-fidelity 3D rendering. Running these compute-intensive workloads, built on game engines like Unreal Engine, is inherently complex. That complexity multiplies […]

How Certis achieved autonomous robot security patrols with AWS

The authors would also like to thank Charlie Chang, Amit Kulkarni, Paul Amadeo, Alla Simoneau, Howie Tan for their contributions in making this initiative possible. Introduction Certis is a leading integrated operations service provider, with over 25,000 employees globally and one of the largest Auxiliary Police Forces in Singapore. As part of its broader autonomous […]

Atinary’s AI & Self-Driving Labs® on AWS accelerate R&D for Takeda and MIT

Self-Driving Labs® are no longer a vision Developing a new drug takes an average of 10-15 years and costs over $2 billion. For patients waiting on life-saving treatments, every month of R&D delay matters. The bottleneck isn’t a lack of scientific talent, it’s the sheer scale of experimentation required. A single drug optimization campaign might […]

Building Spatial Simulations with Generative Agents Using Amazon Bedrock AgentCore

Introduction Organizations across urban planning, emergency management, and defense need to model how populations move and behave in spatial environments. Whether simulating an evacuation, modeling resource competition, or analyzing urban migration patterns, understanding human behavior at scale is critical. Traditional agent-based models rely on hardcoded rules that produce predictable, unrealistic behavior. Generative AI changes this […]

An image of the AWS Physical AI training loop

Physical AI: Building the Next Foundation in Autonomous Intelligence

Introduction The world is moving towards an Autonomous Economy which represents a transformative economic model where AI, edge computing, robotics, spatial intelligence, and simulation technologies work together to enable systems to operate autonomously with minimal human intervention. Physical AI represents the convergence of these technologies enabling computers to sense, understand, predict, and act with the […]