Skip to content
Live
AI Tech

NVIDIA Advances Robot AI Training With Isaac Lab and Newton Platform

New framework speeds up robot development by combining simulation, physics tuning, and real-world motion replay for frontier AI agents.

Summarized from @NVIDIA, . 25-second read.

NVIDIA announced updates to its Isaac platform for robotics, enabling to move from and into real-world robot skills. The system combines NVIDIA Isaac Lab for training, Newton for physics simulation, and Isaac Lab-Arena for evaluation, all runnable on NVIDIA DGX Station hardware.

The platform includes Agile ONE, a reference humanoid robot framework built on NVIDIA Isaac GR00T and powered by NVIDIA Jetson Thor chips. The workflow lets developers build training worlds, replay and learn from real-world motion, and tune physics using NVIDIA open libraries before deploying skills to physical robots.

Read the full story at @NVIDIA

This is an AI-written summary. The original reporting belongs to @NVIDIA. How we write these · Spot a mistake?

Share

Get the AI brief every morning.

The five AI stories that matter each morning: startups, money, jobs, tech and what's coming next. Free, and one click to unsubscribe. See our Privacy Policy.