Latest

• FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
• Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
• MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
• HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions
• BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
• One-Shot Neural Fields for 3D Object Understanding
• TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
• Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation
• RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control