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NVIDIA Seattle Robotics Lab
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Stan Birchfield

Stan Birchfield

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Education
  • Title course 1, 2012

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  • Title course 1, 2012

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Latest

  • SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation
  • 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

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