Humanoid Robotics: NVIDIA Accelerates the Development of Humanoid Robots with Extended Reality, AI and Omniverse (Metaverse)

🕶️🌐 Technological advancements in extended reality (XR) and artificial intelligence (AI) are impressive and far-reaching. A prime example of this development is the work of NVIDIA, a company primarily known for its graphics cards, but which has now also established itself as a pioneer in the field of robotics. NVIDIA is leveraging XR, AI, and the Omniverse (Metaverse) to accelerate the development of humanoid robots and set new standards.

🍏✨ The influence of Apple Vision Pro on XR developments

While the release of Apple's Vision Pro raised concerns that it might not be a commercial success, it undoubtedly accelerated the development of XR (Extended Reality) applications. XR, Augmented Reality (AR), and Mixed Reality (MR) have been hot topics for years, but the anticipated breakthrough has yet to materialize. However, this doesn't mean that XR as a concept has failed. On the contrary, there are numerous promising use cases and development concepts that point us toward the future of XR technology.

🤖🕶️ NVIDIA and controlling robots using XR

A fascinating recent example is a video released by NVIDIA demonstrating the control of a robot using Apple Vision Pro. In this scenario, a person is in a kitchen controlling a robot by adopting the robot's perspective through the Vision Pro glasses. The hand movements captured by the glasses are transmitted to the robot, allowing the person to control it remotely. This enables applications such as preparing toast with honey, controlled by the person.

This technology has far-reaching implications, especially in areas where it can be dangerous for people, such as in buildings at risk of collapse or other hazardous environments. It's easy to imagine how this technology could be used in rescue missions or bomb disposal.

🌟 More on this below in the last section

Developers gain access to new NVIDIA NIM microservices for robot simulations in Isaac Lab and Isaac Sim, the “OSMO Robot Cloud Compute Orchestration Service”, “Teleoperated Data Capture Workflow”, and more.

📊🛠️ Advances in data acquisition and simulation for humanoid robots

One of the biggest challenges in developing humanoid robots is the enormous amount of data required to train the base models. To simplify and accelerate this process, NVIDIA has developed workflows that enable the generation of large amounts of data from a small number of teleoperated demonstrations. This data is then used in simulation environments like NVIDIA Isaac Sim to create synthetic datasets and further train the models.

This innovative approach is also evident in the use of the MimicGen NIM microservice, which generates synthetic motion and perception data. This not only saves time but also significant costs, as less real-world demonstration data is required.

🧠⚙️ The role of AI in robotics

“The next wave of AI is robotics, and one of the most exciting developments is humanoid robots,” said Jensen Huang, founder and CEO of NVIDIA. This vision drives NVIDIA to continuously develop its platforms and technologies and make humanoids accessible worldwide. By providing AI models, simulation tools, and computing resources, NVIDIA is helping to accelerate the development of humanoid robots.

🧩🤝 Collaboration and development opportunities

NVIDIA has launched a Humanoid Robot Developer Program to give developers early access to new tools and platforms. Companies like Boston Dynamics and Fourier are among the first to benefit from this program. The goal is to leverage the latest technologies together with partners and advance the robotics industry as a whole. These collaborations shorten development cycles and bring robots to market faster.

🚀🌟 The future of humanoid robotics

Advances in robotics and artificial intelligence are impressive and open up new possibilities for the use of humanoid robots. NVIDIA plays a central role in this development by creating powerful tools and platforms that enable more efficient training and deployment of humanoid robots. The combination of AR, AI, and sophisticated simulation tools is revolutionizing the development and control of these robots.

Looking ahead, it will be exciting to see how these technologies progress and in which new areas humanoid robots will be deployed. Potential applications range from industrial automation and medical assistance to rescue missions and beyond. NVIDIA is paving the way, demonstrating through its innovations that the integration of AR and AI into robotics is not only possible but also exceptionally promising. Developments in this field could soon fundamentally change our daily lives.

📣 Similar topics

• 🤖 NVIDIA and the humanoid robotics revolution: XR and AI in harmony
• 🔧 NVIDIA's tools for optimizing humanoid robots: Advances and innovations
• 🌐 The role of Apple Vision Pro in human-robot interaction
• 🚀 NVIDIA accelerates humanoid robotics with AI and simulation techniques
• 🚁 Humanoid robots in hazardous environments: Potentials and applications
• 👾 Collaboration in the Humanoid Robot Developer Program: NVIDIA and its partners
• 🏭 Industrial applications of humanoid robots: A new era of automation
• 🍏 The impact of Apple Vision Pro on AR and robotics
• 🔭 The future of humanoid robotics: applications and developments
• 🌐 NVIDIA brings us to the Omniverse: Humanoid robots in the Metaverse

#️⃣ Hashtags: #NVIDIA #humanoidrobotics #artificialintelligence #augmentedreality #roboticsdevelopment

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🚀🧠 Humanoid robots: NVIDIA presents new technologies and platforms for the next AI wave

To accelerate the development of humanoid robots worldwide, NVIDIA provides robot manufacturers, AI model developers, and software manufacturers with a range of services, models, and computing platforms to design, train, and build the next generation of humanoid robots.

The offerings include new NVIDIA NIM™ microservices and frameworks for robot simulation and learning, the NVIDIA Orchestration Service for running multi-stage robot workloads, and an AI and simulation-assisted teleoperations workflow that enables developers to train robots with small amounts of human demonstration data.

“The next wave of AI is robotics, and one of the most exciting developments is humanoid robots,” said Jensen Huang, founder and CEO of NVIDIA. “We are advancing the entire NVIDIA robotics stack and opening access for humanoid developers and companies worldwide to use the platforms, acceleration libraries, and AI models best suited to their needs.”

🚀 Accelerated development with NVIDIA NIM and OSMO

NIM Microservices offer pre-built containers powered by NVIDIA inference software, enabling developers to reduce deployment times from weeks to minutes. Two new AI microservices allow roboticists to enhance simulation workflows for generative physical AI in NVIDIA Isaac Sim™, a reference application for robot simulations built on the NVIDIA Omniverse™ platform.

The MimicGen NIM microservice generates synthetic motion data based on recorded teleoperated data from spatial computing devices such as the Apple Vision Pro. The Robocasa NIM microservice generates robot tasks and simulation-ready environments in OpenUSD, a universal framework for development and collaboration in 3D worlds.

NVIDIA OSMO, now available, is a cloud-native managed service that enables users to orchestrate and scale complex robot development workflows across distributed computing resources, whether on-premises or in the cloud.

OSMO significantly simplifies robot training and simulation workflows, reducing deployment and development cycles from months to less than a week. Users can visualize and manage a wide range of tasks, such as generating synthetic data, training models, performing reinforcement learning, and implementing software-in-the-loop testing at scale for humanoids, autonomous mobile robots, and industrial manipulators.

🤖 Progress in data acquisition workflows for humanoid robot developers

Training basic models for humanoid robots requires an enormous amount of data. One way to collect human demonstration data is through teleoperation, but this is becoming increasingly expensive and time-consuming.

A teleoperations reference workflow supported by NVIDIA AI and Omniverse, demonstrated at the SIGGRAPH computer graphics conference, enables researchers and AI developers to generate massive amounts of synthetic motion and perception data from a minimal number of remote shooting demonstrations.

First, developers use Apple Vision Pro to record a small number of teleoperated demonstrations. Then, they simulate the recordings in NVIDIA Isaac Sim and use the MimicGen NIM microservice to generate synthetic datasets from the recordings.

Developers train the Project GR00T humanoid base model with real and synthetic data, saving them time and money. They then use the Robocasa NIM microservice in Isaac Lab, a robotics learning framework, to generate experiences for retraining the robot model. Throughout the workflow, NVIDIA OSMO seamlessly allocates computing tasks to various resources, saving developers weeks of administrative work.

Fourier, a company specializing in universal robot platforms, sees the benefits of using simulation technology to synthetically generate training data.

“Developing humanoid robots is extremely complex – it requires an incredible amount of real-world data, painstakingly collected in the real world,” said Alex Gu, CEO of Fourier. “NVIDIA’s new simulation and generative AI development tools will help accelerate and simplify our model development workflows.”

🌐 Expanding access to NVIDIA technologies for humanoid developers

NVIDIA provides three computing platforms to facilitate the development of humanoid robotics: NVIDIA AI supercomputers for training models; NVIDIA Isaac Sim, based on Omniverse, where robots can learn and refine their skills in simulated worlds; and NVIDIA Jetson™ Thor humanoid robot computers for running the models. Developers can access and utilize all—or only parts—of the platforms to suit their specific needs.

Through a new NVIDIA Humanoid Robot Developer Program, developers can gain early access to the new offerings as well as the latest versions of NVIDIA Isaac Sim, NVIDIA Isaac Lab, Jetson Thor and Project GR00T general-purpose humanoid base models.

1x, Boston Dynamics, ByteDance Research, Field AI, Figure, Fourier, Galbot, LimX Dynamics, Mentee, Neura Robotics, RobotEra and Skild AI are among the first to join the Early Access program.

“Boston Dynamics and NVIDIA have a long history of close collaboration to push the boundaries of what’s possible in robotics,” said Aaron Saunders, Chief Technology Officer of Boston Dynamics. “We’re excited to see the fruits of that labor driving the industry forward, and the early access program is a fantastic way to access world-class technology.”

📅 Availability

Developers can now join the NVIDIA Humanoid Robot Developer Program to access NVIDIA OSMO and Isaac Lab, and will soon gain access to NVIDIA NIM Microservices.

Learn more about the latest developments in generative AI and accelerated computing by watching Huang's fireside chats at SIGGRAPH, the leading computer graphics conference, which runs until August 1 in Denver.

Developers can stay informed about advancements in generative AI and accelerated computing by attending recent sessions and presentations at SIGGRAPH. This conference offers them the opportunity to learn directly from industry leaders, including NVIDIA, and stay up-to-date on the latest innovations and technologies.

🤝 Participation in the NVIDIA Humanoid Robot Developer Program

For developers interested in the ongoing development and optimization of humanoid robots, the NVIDIA Humanoid Robot Developer Program offers unique advantages. Early access to the latest tools and platforms allows them to significantly reduce development time and bring their projects to market faster. The program is designed to foster close collaboration between NVIDIA and developers to ensure that the solutions developed meet the highest standards and leverage the latest technological advancements.

🔧 NVIDIA access to these cutting-edge technologies

NVIDIA continues to expand and accelerate the development of humanoid robots by introducing advanced tools and platforms. With the new NIM microservices, OSMO orchestration service, and innovative data acquisition workflows, developers have the necessary resources to further push the boundaries of robotics. By providing access to these cutting-edge technologies, NVIDIA empowers developers worldwide to create more robust and intelligent humanoid robots that can be used in a wide range of applications. NVIDIA's commitment to this industry is clearly demonstrated by its ongoing investments and partnerships with leading industry players.

Developers who want to be at the forefront of this technological revolution are invited to join the NVIDIA Humanoid Robot Developer Program to use the latest tools and become part of a community of pioneers in the field of humanoid robotics. By benefiting from NVIDIA's resources and support, they can increase their innovation capabilities and drive the evolution of robotics.

📣 Similar topics

• 🤖 Access to NVIDIA NIM Microservices for robot simulations
• 🚀 Accelerated development of humanoid robots with NVIDIA OSMO
• 💡 AI-supported teleoperations workflow for robot development
• 🔧 NVIDIA OSMO: Cloud-native managed service for robot workflows
• 🧑‍💻 NVIDIA Isaac Sim and Isaac Lab for advanced simulations
• 🌐 Advances in synthetic training data generation for humanoid robots
• 👨‍🔬 NVIDIA Humanoid Robot Developer Program: Early Access
• 👥 Partnership with industry giants like Boston Dynamics and Fourier
• 🍎 Apple Vision Pro and MimicGen for synthetic motion data
• 📅 Attending SIGGRAPH: NVIDIA presents its latest innovations

#️⃣ Hashtags: #Robotics #AI #HumanoidRobots #NVIDIANIM #SIGGRAPH2024

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