An end-to-end pipeline combining Roboflow annotation, SAM 3D reconstruction, and FoundationPose tracking reduces humanoid grasping deployment to 30 minutes with mAP 0.995 detection and sub-1.05 mm pose precision.
Intel RealSense stereoscopic depth cameras,
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A Rapid Deployment Pipeline for Autonomous Humanoid Grasping Based on Foundation Models
An end-to-end pipeline combining Roboflow annotation, SAM 3D reconstruction, and FoundationPose tracking reduces humanoid grasping deployment to 30 minutes with mAP 0.995 detection and sub-1.05 mm pose precision.