joint-agent-client

You can automate articulation classification for USD assets by using a REST API to upload files, trigger VLM-based analysis, and retrieve generated predictions and reports. This removes the need for manual joint rigging and inspection.

VLM-based joint analysis is an automated process that identifies articulated components, such as revolute and prismatic joints, in 3D models. It ensures assets are ready for physics simulation without requiring manual setup.

To retrieve prediction reports, you monitor the pipeline status via events after uploading your USD file. Once the VLM-based analysis completes, you can download the resulting artifacts directly.

You need curl and jq installed to interface with the REST API. Additionally, you must have network connectivity and a reachable Joint Agent service to execute the end-to-end pipeline.

Yes, automating the classification of articulated joints in 3D USD assets ensures models like robotic arms have correctly identified revolute and prismatic joints, making them ready for physics simulation.