1. DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation
2. DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes
3. GraspXL: Generating Grasping Motions for Diverse Objects at Scale
4. ArtiGrasp: Physically plausible synthesis of bi-manual dexterous grasping and articulation
5. ContactGen: Generative Contact Modeling for Grasp Generation
6. GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
7. Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation
8. SynH2R: Synthesizing hand-object motions for learning human-to-robot handovers