Latest

• Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
• Partial-View Object View Synthesis via Filtering Inversion
• 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
• PROGPROMPT: Generating Situated Robot Task Plans using Large Language Models
• RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
• MegaPose: 6D Pose Estimation of Novel Objects via Render and Compare
• 6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark
• RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
• Efficient Geometry-aware 3D Generative Adversarial Networks
• Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects
• Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation
• Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image
• Joint Space Control via Deep Reinforcement Learning
• Multi-View Fusion for Multi-Level Robotic Scene Understanding
• DexYCB: A Benchmark for Capturing Hand Grasping of Objects
• Fast Uncertainty Quantification for Deep Object Pose Estimation
• Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs
• NViSII: A Scriptable Tool for Photorealistic Image Generation
• Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
• Camera-to-robot pose estimation from a single image
• Toward Sim-to-Real Directional Semantic Grasping