NVIDIA introduces a suite of services and platforms to accelerate the development of humanoid robots, including simulation technology, orchestration services, and a developer program, making it easier and more efficient for developers to train and build the next generation of humanoid robotics.
- Efficient simulation workflows for generative physical AI
- Cloud-native managed service for orchestration and scaling of complex development workflows
- Access to technologies and early access to new products through the Humanoid Robot Developer Program
In a move to propel the development of humanoid robots worldwide, nVidia has launched a suite of services, models, and computing platforms for robot manufacturers, AI developers, and software makers. With these products, developers can now train, build, and develop the next generation of humanoid robotics more efficiently.
One of the key products is the NVIDIA NIM microservices and frameworks, which enable developers to enhance simulation workflows for generative physical AI. This means that developers can reduce deployment times from weeks to just minutes. For example, the MimicGen NIM microservice generates synthetic motion data based on recorded teleoperated data from devices like Apple Vision Pro, while the Robocasa NIM microservice generates robot tasks and simulation-ready environments in OpenUSD.
Another noteworthy addition is the NVIDIA OSMO orchestration service, which allows users to orchestrate and scale complex robotics development workflows across distributed computing resources. This cloud-native managed service simplifies robot training and simulation workflows, significantly reducing deployment and development cycle times.
To address the challenge of capturing large amounts of data for training humanoid robots, NVIDIA has also introduced an AI- and Omniverse-enabled teleoperation reference workflow. This workflow enables researchers and AI developers to generate massive amounts of synthetic motion and perception data from a minimal number of remotely captured human demonstrations. By using simulation technology, developers can save time and reduce costs associated with data collection.
The benefits of NVIDIA’s products are already being recognized by industry leaders. Fourier, a general-purpose robot platform company, sees the potential of simulation technology in generating training data. According to Alex Gu, CEO of Fourier, “NVIDIA’s new simulation and generative AI developer tools will help bootstrap and accelerate our model development workflows.”
NVIDIA is also expanding access to its humanoid developer technologies through the NVIDIA Humanoid Robot Developer Program. This program provides early access to the new products, as well as the latest releases of NVIDIA Isaac Sim, NVIDIA Isaac Lab, Jetson Thor, and Project GR00T general-purpose humanoid foundation models. Companies like Boston Dynamics, ByteDance Research, and Field AI are among the first to join the program.
Overall, NVIDIA’s efforts to advance humanoid development are a significant step forward in the field of robotics. By providing developers with the necessary tools and platforms, NVIDIA is empowering them to create the next wave of AI in the form of humanoid robots. With reduced deployment times, simplified workflows, and access to technologies, the future of humanoid robotics looks promising.
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