Nvidia GraspGen-X Models Advanced Grasping, Autonomous Drive, Agent Training
TL;DR. Nvidia Research introduced three papers at CVPR 2026, showcasing new AI foundation models for advanced robotic grasping, faster autonomous driving, and scaled agent training. - GraspGen-X is the first foundation model for zero-shot grasping, trained on billions of simulations. - LCDrive uses latent representations for quicker autonomous vehicle reasoning on embedded hardware. - NitroGen, based on Isaac GR00T, trains embodied agents in virtual environments at scale. - These models enable generalization across diverse applications with enhanced efficiency.
- NVIDIA Research presented three papers at CVPR focused on training at scale for generalized AI applications.
- GraspGen-X is a foundation model for zero-shot grasping applicable to any gripper type.
- LCDrive offers a model for quicker autonomous vehicle reasoning on embedded hardware.
- NitroGen, built on Isaac GR00T, trains embodied agents in virtual environments over extensive simulated interaction hours.