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NVIDIA Seattle Robotics Lab
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Clemens Eppner

Clemens Eppner

NVIDIA

Latest

  • CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
  • Motion Policy Networks
  • DefGraspSim: Physics-based simulation of grasp outcomes on 3D deformable objects
  • DefGraspSim: Simulation-based grasping of 3D deformable objects
  • ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
  • Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments
  • Object Rearrangement Using Learned Implicit Collision Functions
  • 6-DOF Grasping for Target-driven Object Manipulation in Clutter
  • Self-supervised 6D Object Pose Estimation for Robot Manipulation
  • Representing Robot Task Plans as Robust Logical-Dynamical Systems
  • 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
  • A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set

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