NVIDIA releases new and updated tools for physical AI developers

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['NVIDIA Corp. has unveiled a suite of open-source physical AI skills and tools to aid developers of robotics, autonomous vehicles, visual AI, and industrial digital twins. The new tools, revealed at GTC Taipei and Computex, aim to reduce the costs, time, and complexity of building physical AI workflows at scale.

According to NVIDIA, these tools will enable AI agents to speed up data generation, simulation, training, evaluation, and deployment pipelines behind robots, autonomous vehicles, factories, and laboratories.', "The new skills are available as part of the NVIDIA Agent Toolkit and will let AI agents accelerate the development process. 'AI agents are revolutionizing software development, and that shift is now coming to physical AI, extending into the systems that will transform transportation, manufacturing, healthcare, and robotics,' said Jensen Huang, founder and CEO of NVIDIA, at GTC Taipei. 'When agents can directly use NVIDIA libraries, models and frameworks, physical AI development will move faster, enabling developers to build the robots, autonomous vehicles, and industrial systems of the future at an incredible pace.'", "Rev Lebaredian, vice president for physical AI simulation at NVIDIA, noted that 'Physical AI requires massive amounts of training data in diverse environments.' He added that 'Teleoperation, simulation, and internet-scale data lead to world foundation models for an infinite diversity of use cases.' NVIDIA is optimizing its entire physical AI stack for agents by turning libraries, models, and frameworks into agent-callable tools.

This includes 'Cosmos 3,' which is the frontier foundation model for physical AI, understanding videos and text and flagging what matters.", "To help apply these tools, NVIDIA is launching new skills to turn physical AI development processes into repeatable instructions that coding agents can follow. Developers can also safely build and deploy autonomous agents using these skills with the NVIDIA NemoClaw blueprint and the NVIDIA OpenShell runtime. The agents will run on the edge in Jetson and have already demonstrated improvements in uptime.

Several robotics companies, including 1X Technologies, Agile Robots, and Universal Robots, are already using NVIDIA's agent-ready physical AI stack.", "NVIDIA's physical AI skills and tools are accelerating agentic development across various industries, including manufacturing, transportation, healthcare, and industrial software. The company announced that its physical AI agent tools and skills are available through GitHub and skills.sh for use with any coding agent. Additionally, NVIDIA introduced the NVIDIA Isaac GR00T Reference Humanoid Robot, an open humanoid robot reference design built on NVIDIA Jetson Thor and the NVIDIA Isaac GR00T development platform, to help democratize access to advanced hardware and software for humanoid robotics research."]