Project Groot for the next generation of humanoid robots

Artificial Intelligence The next generation of robots will learn faster

2024-03-20 From Hendrik Härter| Translated by AI 1 min Reading Time

Related Vendor

For the next generation of humanoid robots, Nvidia has introduced Project Groot. It is a base model that enables robots to learn faster through simulation and information from the real world.

Humanoid robots learn faster through simulation and information from the real world. Nvidia's Project Groot utilizes the SoC Jetson Thor.(Image: Nvidia) — Humanoid robots learn faster through simulation and information from the real world. Nvidia's Project Groot utilizes the SoC Jetson Thor.
(Image: Nvidia)

For the next generation of humanoid robotics, Nvidia has introduced Groot. Project Groot is a general base model for humanoid robots developed by Nvidia to enable robots to learn faster through simulations and with information from the real world.

For faster learning of robot systems, Nvidia has developed the computing platform Jetson Thor: Based on the Thor System-on-a-Chip (SoC), this platform performs complex tasks and is capable of safely interacting with machines through natural language.

Jetson Thor trains humanoid robots

Jetson Thor has a modular architecture. The system is optimized for performance, energy efficiency, and size. The SoC contains a next-generation GPU based on Nvidia's Blackwell architecture. Moreover, there is a Transformer engine that provides 800 teraflops of 8-bit floating-point AI performance. This enables the execution of multimodal generative AI models for Groot.

By integrating Jetson Thor into robot platforms, developers can create AI-based robots capable of perceiving their environment in multiple dimensions and autonomously performing complex tasks such as grasping, cutting, grinding, welding, and inspecting.

The platform also offers the possibility to analyze and intelligently process sensor data in real time, leading to improved interaction between robots and their environment. To train humanoid robots, Nvidia offers Isaac Manipulator and Isaac Perceptor: a collection of pre-trained robot models, libraries, and reference hardware. Isaac Manipulator helps developers automate a larger number of new robot tasks.

Perceptor is a collection of hardware-accelerated packages for visual AI, specifically developed for Autonomous Mobile Robots (AMR). Nvida has integrated features for multi-camera and 3D surround sound into Perceptor. This allows industrial robots to safely interact with equipment and people in the factory.

Subscribe to the newsletter now

Don't Miss out on Our Best Content

Business E-mail

Please enter a valid mailadress.

By clicking on „Subscribe to Newsletter“ I agree to the processing and use of my data according to the consent form (please expand for details) and accept the Terms of Use. For more information, please see our Privacy Policy. The consent declaration relates, among other things, to the sending of editorial newsletters by email and to data matching for marketing purposes with selected advertising partners (e.g., LinkedIn, Google, Meta)

Date: 08.12.2025

Naturally, we always handle your personal data responsibly. Any personal data we receive from you is processed in accordance with applicable data protection legislation. For detailed information please see our privacy policy.

Consent to the use of data for promotional purposes

I hereby consent to Vogel Communications Group GmbH & Co. KG, Max-Planck-Str. 7-9, 97082 Würzburg including any affiliated companies according to §§ 15 et seq. AktG (hereafter: Vogel Communications Group) using my e-mail address to send editorial newsletters. A list of all affiliated companies can be found here

Newsletter content may include all products and services of any companies mentioned above, including for example specialist journals and books, events and fairs as well as event-related products and services, print and digital media offers and services such as additional (editorial) newsletters, raffles, lead campaigns, market research both online and offline, specialist webportals and e-learning offers. In case my personal telephone number has also been collected, it may be used for offers of aforementioned products, for services of the companies mentioned above, and market research purposes.

Additionally, my consent also includes the processing of my email address and telephone number for data matching for marketing purposes with select advertising partners such as LinkedIn, Google, and Meta. For this, Vogel Communications Group may transmit said data in hashed form to the advertising partners who then use said data to determine whether I am also a member of the mentioned advertising partner portals. Vogel Communications Group uses this feature for the purposes of re-targeting (up-selling, cross-selling, and customer loyalty), generating so-called look-alike audiences for acquisition of new customers, and as basis for exclusion for on-going advertising campaigns. Further information can be found in section “data matching for marketing purposes”.

In case I access protected data on Internet portals of Vogel Communications Group including any affiliated companies according to §§ 15 et seq. AktG, I need to provide further data in order to register for the access to such content. In return for this free access to editorial content, my data may be used in accordance with this consent for the purposes stated here. This does not apply to data matching for marketing purposes.

Right of revocation

I understand that I can revoke my consent at will. My revocation does not change the lawfulness of data processing that was conducted based on my consent leading up to my revocation. One option to declare my revocation is to use the contact form found at https://contact.vogel.de. In case I no longer wish to receive certain newsletters, I have subscribed to, I can also click on the unsubscribe link included at the end of a newsletter. Further information regarding my right of revocation and the implementation of it as well as the consequences of my revocation can be found in the data protection declaration, section editorial newsletter.