Latest

• DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics
• AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries
• AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
• CuRobo: Parellelized Collision-Free Robot Motion Generation
• DeXtreme: Transferring Agile In-hand Manipulation from Simulation to Reality
• Global and Reactive Motion Generation with Geometric Fabric Command Sequences
• Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
• Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration
• Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
• DexYCB: A Benchmark for Capturing Hand Grasping of Objects
• Generalized Nonlinear and Finsler Geometry for Robotics
• Interpreting and Predicting Tactile Signals for the SynTouch BioTac
• Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework
• DexPilot: Depth-Based Teleoperation of Dexterous Robotic Hand-Arm System
• In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation