AWS Spatial Computing Blog
Category: Robotics
GPU-Accelerated Robotic Simulation Training with NVIDIA Isaac Lab in VAMS
The open-source Visual Asset Management System (VAMS) now supports GPU-accelerated reinforcement learning (RL) for robotic assets through integration with NVIDIA Isaac Lab. This pipeline enables teams to train and evaluate RL policies directly from their asset management workflow, leveraging AWS Batch for scalable GPU compute. Isaac Lab for Physical AI and Robotics Development Figure 1: […]
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 […]