Latest

• Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
• ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
• RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
• TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
• MegaPose: 6D Pose Estimationof Novel Objects via Render & Compare
• 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
• DexYCB: A Benchmark for Capturing Hand Grasping of Objects
• Fast Uncertainty Quantification for Deep Object Pose Estimation
• Camera-to-Robot Pose Estimation from a Single Image
• Guided Uncertainty-Aware Policy Optimization: Combining Model-Free and Model-Based Strategies for Sample-Efficient Learning
• Toward Sim-to-Real Directional Semantic Grasping
• Combining Model-Free and Model-Based Strategies for Sample-Efficient Reinforcement Learning
• Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects