A pipeline that converts real-world 3D scans into application-specific USD formats, enabling LLM-based object insertion (80% success) and robotic drawer-opening policies (87% success).
Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner
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From Scan to Action: Leveraging Realistic Scans for Embodied Scene Understanding
A pipeline that converts real-world 3D scans into application-specific USD formats, enabling LLM-based object insertion (80% success) and robotic drawer-opening policies (87% success).