NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale
NVIDIA Research has introduced significant advancements in AI for robotics and autonomous vehicles. Their new models, including GraspGen-X and LCDrive, focus on enhancing the generalization capabilities of AI systems across various applications. These breakthroughs were presented at the CVPR conference, showcasing the potential for improved performance in real-world scenarios.
- ▪GraspGen-X is the first foundation model for zero-shot grasping, trained on billions of simulated grasps.
- ▪LCDrive introduces a model that allows autonomous vehicles to reason faster on embedded hardware by using compact latent representations.
- ▪NitroGen is a gameplay AI foundation model designed to train embodied agents in virtual environments through extensive interaction.
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NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale New NVIDIA Research breakthroughs show how training at scale — across gripper types, driving scenarios and virtual worlds — creates AI that generalizes to diverse applications. June 3, 2026 by Isha Salian 0 Comments Share Share This Article X Facebook LinkedIn Copy link Link copied! Your browser doesn't support HTML5 video. Here is a link to the video instead. What makes a robot gripper useful isn’t that it can pick up one object — it’s that it can pick up the next one, and the one after that, with a tool it’s never held before.
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