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NVIDIA Seattle Robotics Lab
NVIDIA Seattle Robotics Lab
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Ankur Handa

Ankur Handa

NVIDIA

Latest

  • CuRobo: Parellelized Collision-Free Robot Motion Generation
  • DeXtreme: Transferring Agile In-hand Manipulation from Simulation to Reality
  • Insights towards Sim2Real Contact-Rich Manipulation
  • Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration
  • Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger
  • Factory: Fast Contact for Robotic Assembly
  • Robots Teaching Humans: A New Communication Paradigm via Reverse Teleoperation
  • Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations
  • Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning
  • DexYCB: A Benchmark for Capturing Hand Grasping of Objects
  • A User's Guide to Calibrating Robotics Simulators
  • DexPilot: Depth-Based Teleoperation of Dexterous Robotic Hand-Arm System
  • In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation
  • Information Theoretic Model Predictive Q-Learning
  • Model-based Generalization under Parameter Uncertainty using Path Integral Control
  • ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact
  • Robust Learning of Tactile Force Estimation through Robot Interaction

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