Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still...
Open source has become essential for driving innovation in robotics and autonomy. By providing access to critical infrastructure — from simulation frameworks to AI models — NVIDIA is enabling collaborative...
Building robots that can effectively operate alongside human workers in factories, hospitals and public spaces presents an enormous technical challenge. These robots require humanlike dexterity, perception, cognition and whole-body coordination...
From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and...
As the manufacturing industry faces challenges — such as labor shortages, reshoring and inconsistent operational strategies — AI-powered robots present a significant opportunity to accelerate industrial automation. At Automate, the...
The NVIDIA Isaac GR00T Blueprint for synthetic motion data significantly accelerates the data generation and training of humanoid robots....
Tools like NVIDIA Isaac Sim enhance synthetic data generation, improving AI model performance and accelerating robotics development....
Editor’s note: As of June 6, 2025, NVIDIA Edify is no longer available as an NVIDIA NIM microservice preview. To explore available visual AI models, visit build.nvidia.com. Field AI is...
Robots are moving goods in warehouses, packaging foods and helping assemble vehicles — bringing enhanced automation to use cases across industries. There are two keys to their success: Physical AI...
NVIDIA contributed the largest ever indoor synthetic dataset to the Computer Vision and Pattern Recognition (CVPR) conference’s annual AI City Challenge — helping researchers and developers advance the development of...
