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Nvidia details an AI workflow for teaching robot simulation walking

Nvidia outlines how AI agents and simulation tools translate text prompts into trained walking policies for robots like Microduck.

Nvidia details an AI workflow for teaching robot simulation walking — image from NVIDIA
Image: NVIDIA

Summary

Nvidia published a technical workflow explaining how AI agents translate text prompts into project plans for robot simulation. The process covers generating 3D assets with Astra, building obstacle courses in Isaac Sim, and training locomotion policies using Isaac Lab.

What changed

  • Hermes and Nemotron 3.5 Bolt translate text prompts into project plans for simulated obstacle courses on Nvidia RTX Spark.
  • Astra creates 3D simulation assets from the plan using cloud image editing, FreeCAD, and Blender.
  • Isaac Lab trains perception and locomotion policies using 4,096 parallel environments on an Nvidia workstation GPU.

Availability

Available now

“Access ungated assets from the SimReady Central Library to accelerate environment building.”

Founder takeaway

Small teams building robot applications can review the published tutorial steps and use Isaac Sim alongside Isaac Lab to prototype and train navigation policies.

Source

NVIDIAUsing AI Agents to Teach Robots Like Microduck to Walk in Simulation | NVIDIA Technical Blog

Announced Checked

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