NVIDIA Isaac GR00T
Generalist Robot 00 Technology
A research project and development platform called NVIDIA Isaac GR00T aims to speed up humanoid robotics research and development by creating general-purpose robot foundation models and data pipelines.
How does it Works
It has a computer in the robot Jetson AGX Thor to run the whole robot stack, simulation frameworks based on NVIDIA Omniverse and Cosmos, data pipelines for creating synthetic data and surroundings, and robot foundation models for cognition and control.
Isaac GR00T N1 Robot Foundation Model
The first open foundation model for generalized humanoid robot reasoning and skills is the NVIDIA Isaac GR00T N1. This cross-embodiment model performs manipulation tasks in a variety of situations using multimodal input, such as words and visuals.
It was trained on a large humanoid dataset that included internet-scale video footage, synthetic data created using the NVIDIA Isaac GR00T Blueprint components, and real collected data. Through post-training, it can be modified for certain contexts, tasks, and embodiments.
In addition to multi-step activities that need significant context and wide skills, It can generalize to gripping, manipulating objects with one or both arms, and transferring items between arms. These properties are useful for inspection, packing, and material handling.
GR00T Workflows
Use it workflows to close the gap between simulation and reality and hasten the development of sophisticated humanoid robot capabilities.
- GR00T-Teleop: Use teleoperation to get excellent human demonstrations.
- GR00T-Mimic: Take a limited number of human demonstrations and create a vast number of synthetic motion trajectories.
- GR00T-Gen: Use a variety of realistic simulation scenarios to teach robots to generalize and adapt to novel conditions.
- GR00T-Dexterity: To achieve human-like dexterity, simplify intricate grasping tasks using an end-to-end, pixels-to-action gripping system.
- GR00T-Mobility: Apply reinforcement learning and imitation learning strategies to improve the robot’s capacity to adjust to novel, invisible settings.
- GR00T-Control: Utilize a collection of whole-body control libraries, models, and policies to accomplish precise and responsive humanoid robot control.
- GR00T-Perception: To improve perception, cognition, and adaptability, combine retrieval-augmented memory, visual language models, and LLMs.
Get Started Developing Humanoid Robots
Use it basic technologies to further your humanoid robot development by gaining access to release notes, forums, tutorials, and thorough documentation.
Software and Services
Data Generation Pipelines
Use GR00T-Mimic and Cosmos to create sizable synthetic trajectory data sets from a small number of human demos. Next, use Isaac Lab to train your robot motion policy model.
Train Robot Policies
NVIDIA Isaac Lab bridges the gap between simulation and reality by enabling scalable, flexible policy training in physically realistic scenes.
Simulate and Validate
Before being deployed, the trained robot policies can be verified in physically realistic settings with NVIDIA Isaac Sim.
Compute Infrastructure
Take a train
Built on the newest NVIDIA architecture, the NVIDIA DGX Cloud end-to-end AI platform for training robotics foundation models offers you scalable capacity. The top cloud service companies in the world co-engineered it.
Model
The simulation platforms on industry-leading NVIDIA OVX systems are provided by NVIDIA Ominiverse and Cosmos systems. This enables you to speed up the data center’s next generation of robotics simulation workloads.
Install
Develop more sophisticated humanoid robots more quickly and implement multimodal AI models. Based on the NVIDIA Blackwell architecture, the Jetson AGX Thor has a high-performance CPU, 100 GB of Ethernet bandwidth, and integrated functional safety.
Humanoid Developer Learning Library
- Developing a Pipeline for Synthetic Motion Generation in Humanoid Robot Learning.
- NVIDIA Project GR00T: Progressing Humanoid Robot Vision and Ability Development.
- Using the NVIDIA Cosmos World Foundation Model Platform to Advance Physical AI.
Humanoid Robotics Ecosystem
NVIDIA creates blueprints, acceleration libraries, and foundation models to speed up the global humanoid development community.
Conclusion
The goal of the NVIDIA Isaac GR00T research project is to develop general-purpose robot foundation models in order to progress humanoid robotics. In addition to data pipelines and the Jetson AGX Thor computer for robot control, this platform offers technologies like as NVIDIA Cosmos for world modelling and Omniverse for simulation.
The first open foundation model, the GR00T N1, can manipulate a variety of objects and comprehend multimodal inputs. By providing capabilities for teleoperation, synthetic data creation, environment adaption, dexterity, mobility, control, and perception, the workflows significantly speed up development. In general, NVIDIA wants to offer a whole ecosystem of resources and technologies to hasten the development of proficient and intelligent humanoid robots.
