
NVIDIA Robotics
@NVIDIARobotics • 143,810 subscribers
NVIDIA Robotics inspires visionaries and developers to create the next generation of AI-driven robots and explore the world of physical AI.
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Robot actions can be represented as motion in pixel space. NVIDIA Research introduces Hydra-0, a generalist world model conditioned on action flow: image-plane trajectories that enable one model to learn across human hands, handheld grippers, single-arm robots and bimanual systems. Explore the project 📄
NVIDIA Robotics56,432 views • 1 day ago

NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the Unitree H2 humanoid robot, Sharpa Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard compute, and Isaac GR00T open software and models, giving researchers a full-stack platform from data capture to model deployment. Read the #NVIDIAGTC Taipei announcement:
NVIDIA Robotics170,547 views • 3 months ago

Exploring the moon's surface with AI. 🌙 @FireflySpace, an #NVIDIAInception member, is preparing to launch its Blue Ghost Mission 2, including: 🔭 Lunar lander carrying science and technology instruments to detect faint signals from the cosmic dark ages 🛰️ Elytra spacecraft in lunar orbit for a five-year mission 📸 Ocula moon imaging service, powered onboard by the NVIDIA Jetson edge AI platform This builds on Firefly's Blue Ghost Mission 1, launched in March 2025, that downlinked ~120GB of raw lunar surface imagery and video data to Earth. Explore AI on the moon ➡️
NVIDIA Robotics94,219 views • 2 months ago

New NVIDIA physical AI agent-ready skills are changing how robotics researchers work. 🤖 With NVIDIA robotics skills, researchers can automate the most common development steps from scene preparation to simulation and learning with Omniverse libraries, Isaac frameworks, and physical AI open datasets. Specialized skills like Isaac Mobility extend that even further. Learn more ➡️
NVIDIA Robotics100,752 views • 3 months ago

What happens when robot world models learn from human experience at scale? 🤔 DreamDojo from NVIDIA Research is a generalist robot world model pretrained on 44K hours of egocentric human videos and then post-trained on robot data to generalize across new objects and environments. After distillation, it runs at 10 FPS for live teleoperation, policy evaluation, and model-based planning. Read the ICML paper to learn more 📄
NVIDIA Robotics22,958 views • 1 month ago

Humanoid robot development is too fragmented to scale. 🤖 With NVIDIA Isaac GR00T, developers unify simulation, data, and training in one open platform, cutting setup time from days to hours. See how Isaac GR00T helps research teams move faster from robot bring-up to skill development and real-world validation. Watch now 📺
NVIDIA Robotics22,621 views • 2 months ago

Behind every magical moment is incredible tech. ✨ Walt Disney Imagineering’s President and Chief Creative Officer Bruce Vaughn and NVIDIA CEO Jensen Huang share how our collaboration brings characters to life in innovative ways. 🎥 Watch the latest episode of “We Call It Imagineering”.
NVIDIA Robotics62,744 views • 9 months ago




