#robotic grasping

NVIDIA introduces GraspGen, a diffusion-based framework that significantly improves 6-DOF robotic grasping using large-scale synthetic data and innovative training, achieving superior performance in simulation and real-world tests.

UC San Diego introduces Dex1B, a groundbreaking billion-scale dataset that significantly improves dexterous robotic hand manipulation through advanced generative modeling and diverse demonstrations.