AWS Spatial Computing Blog
Category: Artificial Intelligence
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 […]
Embodied AI Blog Series, Part 1: Getting Started with Robot Learning on AWS Batch
We have reached a milestone in technical evolution: the ability to use advanced AI models to influence not only the digital world but also the physical one. We are moving from AI that generates text to AI that moves atoms — augmenting our daily lives by folding clothes, organizing logistics, and reasoning through complex physical […]
Meet up with Spatial Computing and Physical AI Specialists at AWS re:Invent 2025!
AWS re:Invent 2025 is just around the corner, and Spatial Computing & Physical AI specialists will be on hand at the event to share exciting technical presentations, workshops, chalk talks and more. Please join us to learn how AWS infrastructure and services enable autonomous systems to perceive, understand, and act in the real world. Key […]
Empowering Sustainable Agriculture with AI-Powered Leaf Nutrient Sensing on AWS
The Challenge of Nutrient Management in Agriculture For decades, fertilizers have been essential to producing healthy crops and maintaining yield. Yet in many orchards today, especially those growing pistachios, grapes, and almonds across California, the benefits of extra fertilizer are beginning to level off. Growers often apply more nutrients than the plants actually need because […]
From 2D to 3D: Building a Scalable Human Mesh Recovery Pipeline with Amazon SageMaker AI
In the ever-evolving landscape of computer graphics and animation, the ability to automatically generate realistic 3D human animations from video data could transform how digital content is created. From immersive fitness experiences to cutting-edge movie productions, the demand for accurate and lifelike digital human representations has never been more important. However, the process of converting real-world […]
Building Production-Ready 3D Pipelines with AWS Visual Asset Management System (VAMS) and 4D Pipeline
Discover how AWS Visual Asset Management System (VAMS) orchestrates 3D assets from design tools to customer channels, with a proof of concept demonstrating automated pipeline processing and real-world implementation. Overview AWS Visual Asset Management System (VAMS) functions as both a Digital Asset Management (DAM) system and a 3D-aware orchestration layer. VAMS can act as the […]
A Maturity Level Framework for Industrial Inspection Report Automation
Introduction Vision systems are increasingly being deployed for industrial inspection. Mounted on drones, ground robots, or integrated into fixed and portable monitoring cameras, these systems capture massive volumes of 2D and 3D data that must be processed to yield actionable insights. Advances in computer vision—enhanced more recently by AI and agentic AI—are transforming what was […]
Partner Spotlight: How Treedis Powers the Connected Worker with a Spatially Aware Digital Twin on AWS
Introduction The factory of the future isn’t built on machinery alone; it’s built on a connected, empowered workforce. Treedis helps you build that future with our Connected Worker product – a no-code solution built on AWS that uses the power of the digital twin to overcome modern industrial challenges. Image showing Connected Worker Solution and […]
Build a Spatial Object Tracking Pipeline with Create ML using Amazon EC2 Mac Instances
Introduction Apple’s Create ML enables developers to train powerful machine learning models without deep machine learning expertise, simplifying the path from concept to production. A new feature with Apple’s Create ML tool enables object tracking to be trained directly from the command line, unlocking faster and more scalable workflows. This is especially valuable for teams […]
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.









