Google DeepMind has demonstrated a new robotics training technique in which its Gemini 4 Argon AI model learns a physical task by watching video and then transfers the resulting behavior to Apptronik’s Apollo humanoid robot. The demonstration forms part of the launch of Gemini 4 Argon, Google’s latest frontier AI model, which the company says […]

Preparing CAD assets for robotics simulation requires more than converting geometry to OpenUSD: developers must configure and validate materials, collision...

Preparing CAD assets for robotics simulation requires more than converting geometry to OpenUSD: developers must configure and validate materials, collision geometry, joints, and other physics properties before testing robot behavior. NVIDIA Omniverse libraries, guided by SimReady Foundation specifications and agentic NVIDIA skills, provide a structured workflow for converting and validating…

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SafeWorld, an AI lab building robot safety simulation technologies, has emerged from stealth with $12.2 million in seed funding co-led by Shine Capital and a16z Speedrun, along with Box Group, Carnegie Mellon University Endowment, Innovation Endeavors, SV Angel, and other venture capital and angel investors. SafeWorld’s platform provides safety testing and simulation software to help […]

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for...

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for learning physical interactions, but their size can make on-device deployment difficult. This changes with the new NVIDIA Cosmos 3 Edge. Cosmos 3 Edge is a 4B omni-model (with a 2B NVIDIA Nemotron-based reasoner) in the Cosmos 3 family.

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As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids...

As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids remains complex, and today’s development pipelines are still highly fragmented. As a result, developers spend significant time configuring robotics infrastructure before they can focus on building robot capabilities.

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