NVIDIA Isaac GR00T
AssessTools
A robotic foundation model for reasoning and vision-action-language task execution.
Why it's here
Placed in Assess: 2 article(s) of evidence from 1 source(s), led by research-stage coverage, with 2 in the last 30 days. Confidence 30%.
Evidence (2)
- 8NVIDIA Blog·6/8/2026breakthroughNVIDIA and LG Group build AI factory for physical AI and robotics
NVIDIA and LG Group are collaborating on an AI factory to support training, simulation, validation, and deployment of AI applications across robotics, autonomous driving, smart spaces, data centers, and GPU cloud services. The effort combines NVIDIA’s AI factory, digital twin, and robotics stack with LG’s manufacturing, components, and infrastructure capabilities to create workflows for physical AI systems and smart factory operations.
- 8NVIDIA Blog·6/3/2026researchNVIDIA Research Unveils Scalable Physical AI Models for Grasping, Driving and Agent Training
NVIDIA Research presented three CVPR papers focused on scaling physical AI: GraspGen-X for zero-shot robotic grasping, LCDrive for faster autonomous driving reasoning on embedded hardware, and NitroGen for training embodied agents in virtual environments. The company also introduced new physical AI agent skills, and NitroGen plus PixelDIT were named best paper finalists at CVPR.