Gizmo generates editable 3D environments for robot training from text and images

The public beta generates physics-ready 3D scenes for Isaac Sim, MuJoCo and Gazebo, with an API built for automated testing workflows.

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Why it matters

Gizmo turns simulation authoring into an API call, giving robotics teams a possible way to generate and refresh training environments without rebuilding each scene by hand.

Illustration of Gizmo's generated 3D training scene showing miniature robots navigating a detailed indoor obstacle course destined for Isaac Sim, MuJoCo and Gazebo.

Shrey Kothari (@Shreyko) opened the public beta of Gizmo on July 21st, giving robotics teams an AI agent that converts text and reference images into structured 3D environments they can edit, test and export to common simulation engines.…

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