LATEST NEWS

NVIDIA and Hugging Face Expand Open Robotics Ecosystem With New LeRobot Integrations

The collaboration brings NVIDIA Isaac GR00T 1.7 and Isaac Teleop to the LeRobot platform, giving developers open access to advanced robotics AI tools, with NVIDIA Cosmos 3 expected to join the ecosystem in the near future.

NVIDIA and Hugging Face have announced an expansion of their collaboration aimed at accelerating the development of open source robotics and Physical AI. As part of the initiative, NVIDIA’s Isaac GR00T 1.7 foundation model for humanoid robots and the Isaac Teleop framework are now integrated into LeRobot, Hugging Face’s open source robotics platform. NVIDIA also plans to add its Cosmos 3 world foundation model in a future release.

The collaboration is designed to provide robotics developers with a unified open platform for collecting data, training and fine tuning robot foundation models, validating performance and deploying AI powered robotic applications.

According to the companies, the integration combines NVIDIA’s robotics technologies with Hugging Face’s open source ecosystem, creating a development platform accessible to millions of AI and robotics developers worldwide.

Thomas Wolf, Co-founder and Chief Science Officer at Hugging Face, said that open source enables researchers and developers to build on each other’s work more efficiently. He noted that integrating Isaac GR00T and Isaac Teleop into LeRobot allows the robotics community to share models, datasets and development workflows, while the planned addition of Cosmos 3 will further expand access to advanced Physical AI capabilities.

The new integrations include Isaac Teleop, an open source framework for collecting high quality robot training data from human demonstrations, and Isaac GR00T 1.7, NVIDIA’s open foundation model designed to simplify the training and deployment of humanoid robots across a wide range of applications.

NVIDIA also announced plans to integrate Cosmos 3 into LeRobot. The model is expected to help developers generate synthetic robotics data, simulate complex environments and support AI training when real world data is limited or difficult to obtain.

The collaboration builds on a growing portfolio of NVIDIA robotics technologies already available through LeRobot, including one of the industry’s largest open robotics datasets, simulation tools based on Isaac Sim and Isaac Lab, and support for rapid development and evaluation of robotic AI applications.

The companies believe that expanding access to open models, datasets and development frameworks will accelerate innovation in robotics while making advanced Physical AI technologies more accessible to researchers, startups and industrial developers.


Credit: Nvidia

Liat

Recent Posts

Schneider Electric Moves to Acquire PTC in $22.6 Billion Industrial-Software Deal

The proposed acquisition would connect PTC’s CAD, PLM and engineering-data platforms with Schneider Electric’s automation,…

1 day ago

Infineon Demonstrates USB 20 Gbit/s Connectivity Over Five-Metre Passive Cables

The PCIe Gen4 reference design combines high-speed USB data with up to 36 W of…

1 day ago

OMNIVISION Samples 5 MP Global-Shutter HDR Sensor for Industrial Vision and Robotics

The OG05D combines a 2.2 µm global-shutter pixel, single-exposure HDR and enhanced near-infrared sensitivity for…

1 day ago

AlixLabs Begins imec Pilot-Line Evaluation of Atomic-Layer Pitch Splitting

The Swedish semiconductor-equipment company has started a six-month assessment of its advanced patterning process within…

2 days ago

Leica and Cognex Add Local AI Defect Detection to Industrial Microscopy

Aivaro AI Feature Detection identifies, classifies and measures defects inside Leica’s Enersight inspection environment without…

2 days ago

Renesas Unveils Industry’s First 650V GaN in Dual-Side Cooled 8x8mm Package for Megawatt-Scale AI Data Centers

Dual-side cooling (DSC) shrinks package footprint by 57% compared with TOLT, packing more power into…

6 days ago