joint-agent-cli

You can automate joint rigging for articulated USD assets by using VLM-based inference to classify moving components and generate structured joint topologies. This produces validated USD packages without manual rigging.

Automated articulation graph generation for 3D models identifies moving parts in mechanical assemblies and maps their joint relationships. It uses VLM analysis to automatically generate structured joint candidates for robot arms and mechanical props.

Yes, generating USD joint topologies requires a configured Linux environment. You also need the joint-agent package, the uv dependency manager, and a valid API key for your selected model backend to run the inference.

Yes, you can use VLM analysis to classify moving parts in mechanical assemblies. The tool identifies articulated components in 3D assets and automatically generates structured joint candidates for downstream simulation workflows.

The best way to prepare robot arm 3D models for simulation is to automate articulation classification and joint topology generation. This creates validated, self-contained USD files ready for downstream simulation packages.

Automated USD rigging requires an API key because it relies on VLM-based inference to identify articulated components. The API key authenticates requests to the selected model backend that powers the visual analysis.