Humanoid Robots

Accelerate the development of advanced AI robotics.

Apptronik

Workloads

Simulation / Modeling / Design
Robotics

Industries

Manufacturing
Hardware/Semiconductor
Healthcare and Life Sciences
Retail/ Consumer Packaged Goods
Smart Cities/Spaces

Business Goal

Innovation
Return on Investment

Products

NVIDIA Isaac Lab
NVIDIA Isaac Sim
NVIDIA Isaac GROOT
NVIDIA Jetson Thor
NVIDIA Omniverse

Overview

The Next Era of Physical AI

General-purpose humanoid robots are built to quickly adapt to existing human-centric urban and industrial work spaces, helping tackle tedious, repetitive, or physically demanding tasks. 

These robots are finding their way from factory floors to healthcare facilities, where they’re assisting humans and alleviating labor shortages with automation.

Figure 02 Humanoid Robot at a BMW factory

Figure

However, building humanoid robots presents layers of complexities and engineering challenges. These include replicating human-like perception, degrees of freedom, dexterity, mobility, cognition, and whole-body control.

This demands accelerated progress in robotics research fields and technologies, including artificial intelligence, machine learning, physics-based simulation, sensor technologies, and mechatronics.

NVIDIA Releases GR00T N1, World’s First Open Foundation Model for Humanoid Robot Development

NVIDIA Isaac GR00T N1 brings generalized skills and reasoning to humanoid robots.

Quick Links


Technical Implementation

Advancing Humanoid Robot Development

NVIDIA is developing accelerated systems, blueprints, tools, services, algorithms, and other robot technologies that can be used to build general-purpose, human-form-factor robots.

Three Computer Solution

Humanoid robots need to sense, plan, and act autonomously within a given environment, which involves processing large amounts of data in real time. This requires training foundation models that power the robot brain, simulating and validating the robot brain, and finally deploying these brains and associated software onto the actual robot. 

The three AI systems are: 

Physical AI Accelerated by Three Computers, NVIDIA DGX, Omniverse, and AGX

NVIDIA Isaac GR00T

GR00T is a research initiative and development platform for general-purpose robot foundation models and data pipelines, to accelerate humanoid robotics.

Robot Foundation Models

Humanoid robots need diverse skills for varied tasks, traditionally requiring separate, costly AI models. Robot foundation models solve this by training on broad data, developing generalizable skills. This allows robots to adapt to different tasks and environments.

NVIDIA Isaac GR00T N1 is the world’s first open foundation model for generalized humanoid robot reasoning and skills. This cross-embodiment model takes multimodal input, including language and images, to perform manipulation tasks in diverse environments. GR00T N1 was trained on an expansive humanoid dataset, consisting of real captured data, synthetic data generated using the components of the NVIDIA Isaac GR00T Blueprint, and internet-scale video data. It is adaptable through post-training for specific embodiments, tasks and environments.

Robot Learning and Simulation Frameworks

Simulation is key for developers to train humanoid robots across a variety of physically accurate environments and conditions, before deploying them in the real world. 

Robot learning and simulation frameworks like NVIDIA Isaac Sim and NVIDIA Isaac Lab—built on the NVIDIA Omniverse platform—enable physically accurate simulations for training and validating multiple humanoid robot agents in parallel. 

Isaac Lab is an open-source unified robot learning framework built on Isaac Sim that can be used to apply these learning techniques to train a robot policy. The trained robot policies can then be validated in Isaac Sim, a reference application for building, simulating, and testing humanoids in physically based virtual environments.

An Agility Robotics completing tasks in a simulated environment

Agility Robotics

GR00T Workflows

Data Generation and Processing

Gathering extensive, high-quality, real-world datasets for this can be challenging, costly, and time-consuming. Synthetic data, generated from physically accurate simulations, offers a solution by accelerating data collection and providing the diversity needed to generalize robot learning models, overcoming the limitations of real-world data acquisition. 

The GR00T reference workflows for data generation allow developers to generate synthetic motion for manipulation, movement, and location from just a handful of human demonstrations. Furthermore, the images or videos generated can be augmented from 3D to real with NVIDIA Cosmos™, reducing the simulation-to-real gap.

Dextrous Manipulation

Humanoid robot grasping functionality requires human-like dexterous object manipulation skills, capable of performing both gross and fine-grained manipulation tasks. GR00T-Dexterity is a comprehensive suite of models and policies built using a reinforcement learning-based approach, combined with reference workflows, to enable the development of these advanced capabilities.

Mobility

General-purpose navigation in complex and dynamic environments requires extensive tuning. With the GR00T-Mobility reference workflow, you can create a mobility generalist for navigating across varied settings and robot embodiments.

Whole-Body Control

Achieving whole-body control in humanoid robots is challenging, demanding both stable manipulation and robust locomotion. GR00T-Control addresses this with a suite of advanced motion planning and control models, policies, and reference workflows, streamlining the development of effective control systems. 

By using imitation learning and teleoperated datasets, GR00T-Control facilitates training for robust, whole-body motion policies, enabling humanoid robots to learn dexterous manipulation and locomotion skills.

The HOVER policy showing four humanoids with versatile control

AI-Based Robot Perception

To improve situational awareness and interaction efficiency, humanoid robots require long-term memory for events, spaces, personalized settings, and context-aware responses. 

GR00T-Perception enables this with a robust suite of perception libraries, foundation models, and reference workflows built on Isaac Sim and Isaac ROS. These tools integrate advanced technologies like vision-language models and retrieval-augmented memory to enhance perception, cognition, and adaptability in humanoid robots.

The Next-Generation, On-Robot Computing Platform

Robot hardware is also crucial for running an ensemble of multimodal AI models that power humanoids with the right performance, latency, and functional safety in diverse conditions. 

NVIDIA Jetson AGX Thor, based on NVIDIA’s Blackwell GPU architecture, delivers ultra-high-performance AI compute and a new transformer engine. This delivers the necessary AI superpower at the edge to enable the new generation of humanoids.


Ecosystem

Get started with our humanoid robotics partners.

1x
Agility Robotics
Apptronik
Boston
Field AI
Fourier
Galbot
Mentee Robotics
Sanctuary
Skild AI
Unitree

Get Started

Develop Humanoid Robots

Advance your humanoid robot development with GR00T foundational technologies by accessing tutorials, forums, release notes, and comprehensive documentation.

Resources

Synthetic data for training computer vision models

Synthetic Data

Close the sim-to-real gap by creating physically accurate virtual scenes and objects to train AI models while saving on training time and costs. 

Learn more about Robot Learning

Robot Learning

Apply reinforcement learning and imitation learning techniques to any type of robot embodiment, and build robot policies using NVIDIA Isaac Lab, an open-source robot learning framework.

A robot simulation framework built on top of NVIDIA Omniverse

Simulation

Isaac Sim is a robot simulation framework built on top of NVIDIA Omniverse that provides high-fidelity, photo-realistic simulations to train humanoid robots.

Apply Now for NVIDIA Humanoid Robot Developer Program

Robotics and Edge AI

Accelerate humanoid robot development using NVIDIA tools, libraries, and three computers—NVIDIA DGX™ for AI training, OVX™ for simulation, and Jetson AGX for deploying multimodal AI on humanoid robots.

Related Use Cases

Select Location
Middle East