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NVIDIA and Hugging Face integrate AI model "GR00T 1.7" into open-source robot development platform "LeRobot."

NVIDIA and Hugging Face integrate AI model "GR00T 1.7" into open-source robot development platform "LeRobot."

NVIDIA and Hugging Face have announced the integration of their cutting-edge technologies aimed at enhancing humanoid robots. The collaboration will see the incorporation of NVIDIA's visual language action (VLA) model, known as NVIDIA Isaac GR00T 1.7, along with the remote operation framework, NVIDIA Isaac Teleop, into Hugging Face's open-source robot development library, LeRobot. This initiative is set to advance the capabilities of humanoid robots, enabling more sophisticated interactions and functionalities. The announcement highlights a significant step in the ongoing evolution of robotics, reflecting both companies' commitment to fostering innovation in the field.

NVIDIA unveils its first open humanoid reference design, "Isaac GR00T."

NVIDIA unveils its first open humanoid reference design, "Isaac GR00T."

NVIDIA has unveiled its first open-source humanoid robot reference design, named the NVIDIA Isaac GR00T Reference Humanoid Robot, aimed at advancing robotics research. This announcement was made recently, highlighting NVIDIA's commitment to fostering innovation in the field of robotics. The new design is expected to provide researchers and developers with a versatile platform to explore and develop robotic applications. By making the design open-source, NVIDIA aims to encourage collaboration and accelerate advancements in humanoid robotics, allowing a broader community to contribute to and benefit from this technology.

NVIDIA Advances Humanoid AI with GR00T N1.5, Eyeing a Future of Simulated Realities

NVIDIA Advances Humanoid AI with GR00T N1.5, Eyeing a Future of Simulated Realities

NVIDIA has introduced its latest innovation, the Isaac GR00T N1.5, along with advanced simulation tools aimed at enhancing the learning capabilities of humanoid robots. This announcement, made during a recent tech conference, highlights the company's commitment to addressing the challenges associated with the 'Physical Turing Test' through the use of synthetic data generation. By leveraging these new tools, NVIDIA aims to improve the performance and adaptability of robots in real-world scenarios. The initiative reflects the growing demand for more sophisticated robotic systems that can seamlessly interact with their environments, ultimately pushing the boundaries of artificial intelligence and robotics.

NVIDIA GR00T
NVIDIA Details Open-Source GR00T N1 Foundation Model and Hover Controller for Humanoids

NVIDIA Details Open-Source GR00T N1 Foundation Model and Hover Controller for Humanoids

At the Marktechpost miniCON Open Source AI 2025, NVIDIA Research Scientist Yuke Zhu unveiled Project GR00T, which focuses on a simulation-first strategy for developing generalist foundation models tailored for humanoid robots. The initiative includes the launch of the open-source GR00T N1 multimodal model and the Hover whole-body controller. These innovations aim to enhance cross-embodiment capabilities and expedite development processes for NVIDIA's robotics partners. This presentation highlights NVIDIA's commitment to advancing robotics technology through collaborative and open-source efforts.

NVIDIA open-source hover GR00T
LoongForge Achieves 2.3x Training Throughput Improvement for GR00T N1.6 Model

LoongForge Achieves 2.3x Training Throughput Improvement for GR00T N1.6 Model

LoongForge, a company led by Baido Baige, has announced significant improvements in the training process of its GR00T N1.6 VLA model. This optimization, which was implemented recently, has resulted in a remarkable 56.6% reduction in training cycles and a 2.3-fold increase in throughput. The enhancements specifically target challenges such as input/output blocking and inefficient scheduling, thereby greatly boosting the overall efficiency of the model's training process. These advancements are expected to streamline operations and improve performance in various applications.

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Unitree Announces H2 Plus, an NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research

Unitree Announces H2 Plus, an NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research

Unitree Robotics has unveiled the H2 Plus, a groundbreaking humanoid robot designed for academic research, which integrates advanced technologies from NVIDIA. Announced on June 1, 2026, the H2 Plus combines the Unitree H2 chassis with Sharpa five-fingered hands and is powered by the NVIDIA Jetson Thor, utilizing the NVIDIA Isaac GR00T development platform. This innovative reference design aims to streamline humanoid robotics research by providing a comprehensive hardware and software solution that eliminates the need for proprietary systems. The H2 Plus stands nearly six feet tall and weighs 150 pounds, featuring 31 degrees of freedom in its body and 22 in its hands, allowing for sophisticated manipulation and interaction. Equipped with multi-view sensing capabilities, including a stereo camera and wrist cameras, the robot is designed for real-world applications, enhancing its utility in various industries. Unitree's CEO, Xingxing Wang, emphasized that the H2 Plus offers developers a validated starting point for creating robotic skills, while NVIDIA's CEO, Jensen Huang, highlighted the potential economic opportunities that humanoid robots could unlock. By unifying the development process, the H2 Plus aims to accelerate advancements in physical AI, enabling researchers to transition from initial setup to skill development and practical validation more efficiently.

NVIDIA Announces NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research

NVIDIA Announces NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research

NVIDIA has unveiled the NVIDIA Isaac™ GR00T Reference Humanoid Robot, marking a significant advancement in robotics technology. This innovative humanoid robot is the first of its kind to be built on the NVIDIA Jetson Thor™ platform and utilizes the NVIDIA Isaac GR00T open development framework. The announcement was made today, highlighting NVIDIA's commitment to pushing the boundaries of artificial intelligence and robotics. By providing an open reference design, NVIDIA aims to facilitate collaboration and innovation within the robotics community, enabling developers to create advanced applications for various industries. The introduction of the GR00T robot is expected to accelerate the development of humanoid robots capable of performing complex tasks, thereby enhancing automation and efficiency in multiple sectors.

Nvidia unveils open humanoid robot platform for robotics research

Nvidia unveils open humanoid robot platform for robotics research

Nvidia has introduced the Nvidia Isaac GR00T Reference Humanoid Robot, an innovative open platform aimed at advancing research and development in physical artificial intelligence and general-purpose robotics. The announcement was made during the Nvidia GTC event in Taipei. This new platform integrates several cutting-edge technologies, including the Unitree H2 Plus humanoid robot, Sharpa Wave tactile five-finger hands, and the Nvidia Jetson Thor onboard computing system. The initiative is part of Nvidia's broader strategy to enhance capabilities in robotics, providing researchers and developers with a versatile tool to explore and innovate in the field of robotics and AI.

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Sharpa brings dexterous robot hands to Nvidia and Unitree humanoid reference design

Sharpa brings dexterous robot hands to Nvidia and Unitree humanoid reference design

Sharpa has unveiled the integration of its Wave tactile robot hands into the Unitree H2 Plus humanoid robot reference design, marking a significant advancement in robotics technology. This collaboration makes the Unitree H2 Plus the first dexterous humanoid platform to utilize Sharpa's tactile manipulation technology within Nvidia’s Isaac GR00T development framework. The companies aim to enhance the capabilities of robotics developers and researchers by providing a sophisticated platform that combines advanced tactile feedback with humanoid robotics. This integration is expected to facilitate innovative developments in the field, enabling more nuanced and effective interactions between robots and their environments.

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Foxconn to Deploy NVIDIA-Powered Humanoid Robots in Houston AI Server Plant

Foxconn to Deploy NVIDIA-Powered Humanoid Robots in Houston AI Server Plant

An electronics giant is set to implement humanoid robots powered by NVIDIA's GR00T foundation model on its production lines, signaling a pivotal trial for its innovative "simulation-first" approach to robotics. This initiative aims to enhance efficiency and productivity within manufacturing processes. The deployment of these advanced robots is expected to take place in the coming months, as the company seeks to leverage cutting-edge technology to streamline operations and reduce costs. By integrating AI-driven humanoids into its workflow, the firm hopes to revolutionize traditional manufacturing practices and address labor shortages in the industry. This move underscores a growing trend among tech companies to explore the potential of robotics in various sectors, particularly in response to increasing demands for automation and smart manufacturing solutions.

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NVIDIA Open Sources Embodied Intelligence Toolchain to Enhance Robotics Development

NVIDIA Open Sources Embodied Intelligence Toolchain to Enhance Robotics Development

On July 6, NVIDIA integrated three key components into Hugging Face's open-source robotics library, LeRobot: the GR00T N1.7 model, Isaac Teleop framework, and the upcoming Cosmos 3. This collaboration connects NVIDIA's 3 million robot developers with Hugging Face's 16 million AI builders, facilitating access to pre-trained models and data. This initiative is significant as it shifts NVIDIA's focus from merely creating models to building an ecosystem that addresses data bottlenecks in embodied intelligence development. The Isaac Teleop framework standardizes data collection, allowing for easier sharing and reuse within the community, which is crucial for advancing robotics. Looking ahead, the integration of GR00T N1.7 and Isaac Teleop into the LeRobot workflow marks a pivotal moment for robotics developers. No further timeline was disclosed at the time of publication.

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NVIDIA and Hugging Face Enhance LeRobot with New AI Models and Frameworks

NVIDIA and Hugging Face Enhance LeRobot with New AI Models and Frameworks

NVIDIA has expanded its collaboration with Hugging Face to enhance the LeRobot open-source robotics platform with new AI models and frameworks. This integration includes the NVIDIA Isaac GR00T 1.7 vision-language-action model and the Isaac Teleop framework, aimed at streamlining robot development. The partnership seeks to make advanced robotics tools more accessible to developers and researchers, with plans to incorporate NVIDIA Cosmos 3 in the future. This collaboration is significant as it addresses the fragmented nature of robotics development by providing standardized workflows for data collection, model training, and robot deployment. The introduction of the Isaac Teleop framework allows for high-quality training data collection through human demonstrations, which can be shared within the LeRobot ecosystem. By lowering barriers to entry, NVIDIA and Hugging Face aim to foster broader collaboration in the robotics community. Looking ahead, NVIDIA plans to integrate the Cosmos 3 model into LeRobot, which will generate synthetic robotics data and assist in policy development. The collaboration builds on existing resources, including a dataset with over 350,000 robot trajectories and 57 million grasp examples. No further timeline was disclosed at the time of publication.

AI and Robotics
NVIDIA and Hugging Face Collaborate to Enhance LeRobot Open Source Community with Physical AI

NVIDIA and Hugging Face Collaborate to Enhance LeRobot Open Source Community with Physical AI

NVIDIA and Hugging Face have joined forces to enhance the LeRobot open-source robotics library by integrating NVIDIA's Isaac GR00T 1.7 and Isaac Teleop frameworks. This partnership, announced recently, seeks to streamline the robot development process for developers by offering a comprehensive, standardized open-source pathway that encompasses everything from data collection to deployment. The initiative is designed to significantly reduce the barriers to entry for developers venturing into physical AI development, making it more accessible and efficient.

Robotics Open Source AI Machine Learning Simulation
NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community

NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community

New LeRobot integrations give developers open access to NVIDIA Isaac GR00T 1.7, Isaac Teleop, datasets and robotics workflows, with NVIDIA Cosmos 3 integration planned to bring frontier world models to open robotics development.

NVIDIA Launches Open Humanoid Robot Reference Platform for Academic Research

NVIDIA Launches Open Humanoid Robot Reference Platform for Academic Research

NVIDIA has introduced the Isaac GR00T humanoid robot reference design, a sophisticated platform aimed at enhancing research in humanoid robotics. This innovative design combines cutting-edge hardware and software, facilitating a more efficient development process for academic institutions such as Stanford University and ETH Zurich. By concentrating on physical AI, the Isaac GR00T provides a holistic solution for data collection, simulation, and deployment, thereby supporting the advancement of robotics research. The unveiling of this platform marks a significant step in the evolution of humanoid robotics, offering researchers the tools necessary to push the boundaries of technology in this field.

Humanoid Robots AI Robotics Research Robot Development
NVIDIA releases new and updated tools for physical AI developers

NVIDIA releases new and updated tools for physical AI developers

NVIDIA has unveiled a suite of open-source tools and skills designed for developers working with physical AI agents, alongside the introduction of the Isaac GR00T humanoid reference robot. This announcement, aimed at enhancing the capabilities of AI in real-world applications, reflects NVIDIA's commitment to advancing robotics and AI technology. The release is part of the company's ongoing efforts to foster innovation within the AI community, providing developers with the resources necessary to create more sophisticated and capable physical AI systems. The tools and the humanoid robot were made available recently, signaling a significant step forward in the integration of AI into practical robotics.

Artificial Intelligence Artificial Intelligence / Cognition Automotive Autonomous Mobile Robots (AMRs) Development Tools / SDKs / Libraries Healthcare Robotics
Nvidia, Unitree and Sharpa unite to design humanoid robot that can perform ‘real work’

Nvidia, Unitree and Sharpa unite to design humanoid robot that can perform ‘real work’

Nvidia has announced a collaboration with Unitree Robotics, a leading Chinese robotics company, and Singapore-based Sharpa, a manufacturer of robotic hands, to introduce a new humanoid robot reference design aimed at fostering innovation in the global humanoid robotics sector. CEO Jensen Huang revealed the initiative on Monday, highlighting the design, named H2+ or Isaac GR00T, which is intended to enhance industry-wide research in humanoid robotics. This new reference design will facilitate a more efficient development process for developers by streamlining essential workflows, including data collection, policy training, and real-world application testing. The partnership underscores Nvidia's commitment to advancing robotics technology and supporting developers in creating more sophisticated humanoid robots.

Interview with Sharpa’s Alicia Veneziani: ‘Dexterous manipulation is the key to useful humanoid robots’

Interview with Sharpa’s Alicia Veneziani: ‘Dexterous manipulation is the key to useful humanoid robots’

Recent advancements in humanoid robotics have captivated audiences with remarkable demonstrations of walking, running, jumping, and balancing. However, experts in the field caution that while locomotion is a significant aspect, it is not the only challenge facing the development of practical humanoid robots. Many robotics specialists emphasize that the greater hurdle lies in replicating human-like cognitive abilities and social interactions, which are essential for these machines to be genuinely useful in everyday environments. As researchers continue to push the boundaries of technology, the focus is shifting towards enhancing the cognitive and emotional intelligence of robots, which could ultimately determine their effectiveness in real-world applications.

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Teradyne Robotics unveils production-ready physical AI applications at Automate 2026

Teradyne Robotics unveils production-ready physical AI applications at Automate 2026

Teradyne Robotics, the parent company of Universal Robots and Mobile Industrial Robots, is set to showcase the impact of physical AI on industrial automation at the Automate 2026 trade show in Chicago from June 22 to 25. At booth #1250, attendees will witness demonstrations highlighting the capabilities of their robotic solutions. Jean-Pierre Hathout, President of the Teradyne Robotics Group, emphasized the significance of these innovations, stating that physical AI is prominently featured in their offerings. The event aims to illustrate how advancements in robotics are revolutionizing the industry and enhancing operational efficiency.

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Agile Robots showcases force-control technology, humanoids, and physical AI at Robot Technology Japan event

Agile Robots showcases force-control technology, humanoids, and physical AI at Robot Technology Japan event

Agile Robots is making a significant impact at Robot Technology Japan (RTJ) 2026, where the Munich-based company is showcasing its extensive range of industrial robotics, embodied AI, and humanoid technologies. The event, taking place in Nagoya, serves as a platform for Agile Robots to highlight its latest innovations, including advanced force-control systems, collaborative robots, and AI-driven automation solutions. This presentation underscores the company's commitment to expanding its presence in the global automation market, reflecting the growing demand for sophisticated robotic technologies in various industries.

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Nvidias Vision for "Physical AI" in Humanoid Robotics

Nvidias Vision for "Physical AI" in Humanoid Robotics

At the recent GTC conference hosted by Nvidia, the company unveiled its latest initiative, "Physical AI," which aims to significantly improve the functionality of robots in real-world environments. This innovative concept combines cutting-edge artificial intelligence models with sophisticated simulation platforms and novel data generation techniques. By integrating these technologies, Nvidia seeks to enhance the operational capabilities of robots, enabling them to perform tasks more efficiently and effectively in various settings. The initiative reflects Nvidia's commitment to advancing AI applications and addressing the challenges faced by robotics in practical scenarios.

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