Latest

• FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
• Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
• 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
• PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
• 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
• RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
• Camera-to-Robot Pose Estimation from a Single Image
• DexPilot: Depth-Based Teleoperation of Dexterous Robotic Hand-Arm System
• Toward Sim-to-Real Directional Semantic Grasping
• RMPflow: A Computational Graph for Automatic Motion Policy Generation
• Robust Learning of Tactile Force Estimation through Robot Interaction
• Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
• Riemannian Motion Policies