AWS Physical AI Blog
Category: Partner solutions
How WIRobotics is teaching humanoid robots to use human tools with AWS and NVIDIA
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. […]
How Physna and AWS use geometric intelligence to bridge engineering design and procurement
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 […]
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 […]
From Local to Global: Scaling 3D Pipelines with AWS and RapidPipeline
At DGG, our mission has always been to help enterprises scale their 3D data workflows, fast, reliably, and at production scale. With the upcoming launch of our new RapidPipeline plugins at SIGGRAPH 2025, we’re opening the door to seamless integration with the tools 3D professionals already use, and setting the stage for scalable, cloud-first workflows […]
Partner Spotlight: Multiplayer Spatial Connection Engine for Non-Games Using a Scalable P2P Service with Topia
Topia’s Virtual Office, Powered by Topia’s Spatial Connection Engine Introduction This blog post explores the possibilities for spatial computing using peer-to-peer (P2P) webRTC and hybrid server-based approaches to state management. Thereby facilitating the transformation of any application into a game-like multiplayer social experience. Multiplayer game servers and their limitations Multiplayer game backends, such as Amazon […]
AI-Powered Construction Document Analysis by Leveraging Computer Vision and Large Language Models
TwinKnowledge collaborated with AWS’s PACE team to develop a scalable computer vision and Large Language Model solution that efficiently processes thousands of architectural drawings while maintaining high accuracy, helping to reduce construction document errors and improve project efficiency through AI-augmented human review processes.