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NVIDIA Robotics
@NVIDIARobotics
NVIDIA Robotics inspires visionaries and developers to create the next generation of AI-driven robots and explore the world of physical AI.
385 Following    150.9K Followers
Korea’s deep strengths in mechatronics, manufacturing, engineering, and now AI are powering new advances in physical AI. 🙌 Learn how some of Korea’s industry leaders are building with NVIDIA: ✔️ @Samsung is advancing semiconductor engineering with NVIDIA-accelerated computing and AI physics. ✔️ Kakao Mobility plans to integrate NVIDIA Hyperion and Halos to build the next generation of robotaxis. ✔️ @LGE_Global is developing its humanoid robot CLOiD on NVIDIA Isaac GR00T, Cosmos, and Thor to accelerate manufacturing in its own factories. Read the blog 👉 #NVIDIAAIDay#
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Now that’s a lineup. 💚 A spotlight on a few of our robotics and automotive partners from Europe and around the world as we celebrate the entire ecosystem bringing physical AI to life. To all our partners, thanks for building with us and making moments like this possible. #NVIDIAGTC#
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🦆 Put AI agents to work to help your robot learn to navigate. Using Microduck as the reference robot, this walkthrough shows how to create a simulated obstacle course with @OpenAI GPT-6 Astra, build 3D assets with @nvidiaomniverse libraries, simulate physics with Newton, train policies in NVIDIA Isaac Lab, and validate them in Isaac Sim on @NVIDIARTXSpark.
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Use Codex to deploy a Gemma4-powered vision demo as a standalone kiosk on NVIDIA Jetson. Automatic startup, live webcam descriptions, and local inference. No Mac required. Watch the tutorial 👉
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The launch of NVIDIA Open Agent Safety Platform strengthens safety and security for agentic AI. For robotics, NVIDIA OpenShell helps extend agent safety controls to autonomous systems that take action in the physical world.
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We’ve launched NVIDIA Open Agent Safety Platform to help people control what AI agents can access and do. Agents can write code, use tools, and work on complex tasks for hours or days. That work requires access to data and systems, along with clear limits on how they’re used. NVIDIA OpenShell enforces permissions around the agent’s work. BlueField-4 and DOCA add independent monitoring and security controls in the infrastructure, outside the agent’s reach. Vera CPUs power the work itself. Together, these technologies give teams a foundation for putting agents to work with defined permissions, oversight, and protection. Explore the platform:
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Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world.
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Want to spend less time configuring your edge AI environment and more time building? ⚡ Join us next week for agentic AI development on NVIDIA Jetson. We’ll demonstrate how Codex and Claude Code use Jetson Agent Skills to inspect a device, configure its software environment, and build repeatable, optimized AI pipelines. Bring your questions and see the workflow in action. 📅 September 30 @ 9 AM PT Add to calendar 🔗
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Running low on memory on your NVIDIA Jetson? 👀 @garyexplains demonstrates how Jetson Agent Skills can help diagnose issues, optimize resources and configure LLM runtimes using tools like Codex and Claude Code. Watch the latest Tech Nibble:
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Still deciding which hands-on training sessions to attend at #NVIDIAGTC# Berlin? If robotics is on your agenda, add these two must-attend sessions to your list: 🔹 Building Surgical and Medical Robotics With NVIDIA Isaac for Healthcare: 🔹 From Teleop to Torque: Deploying a GR00T Policy on a Humanoid:
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Your #NVIDIAGTC# Berlin agenda could use some work. 👀 Don't worry, we have recommended hands-on trainings for you. Explore our lineup to build physical AI skills across NVIDIA Cosmos, visual AI agents, humanoid robot policies, and more. 👉
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Congratulations to Isaac Doubek, winner of the NVIDIA Jetson Thor Developer Kit giveaway at #ROSCon#. Thank you to everyone who entered and joined us at our developer meetup. It was great connecting with the community. 🤗
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Physics simulation gives robots a place to learn before they enter the physical world. 🤖 Developers can model complex interactions, train and evaluate policies, and validate robot behavior in controlled virtual environments before deployment. Explore physics simulation for robotics 🔗
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Congrats to @bfl_ai on launching FLUX 3 Action and topping the RoboLab-120 leaderboard. 🙌 The fine-tunable world action model can learn policies for robot arms and a range of interactive environments. As a Cosmos Coalition member, BFL is working with NVIDIA to advance next-gen world models. See how to run FLUX 3 Action on NVIDIA Jetson:
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140 years of soccer practice in simulation. ⚽ Skild AI’s robot policy learned to dribble, shield, and tackle through self-play in NVIDIA Isaac Sim before being transferred to a real humanoid robot. 👇
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We trained a robot to play football. How? Self-play for 140 years in a virtual World Cup. Meet the #Messinator#:
Simulate Robotiq Grippers With NVIDIA Isaac Sim and Newton
Bring CUDA-accelerated transport to existing ROS 2 nodes with an AI coding agent. ⚡ New agent skills in NVIDIA Isaac ROS 5.0 help audit data movement, preserve standard ROS 2 interfaces, remove unnecessary host copies, and verify the CUDA buffer backend. Explore the technical workflow 📄 #ROSCon#
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A request as simple as “get me some water” can require a robot to reason through several decisions: where to go, which object to use, and what to do when the request is ambiguous. In the @MLStreetTalk podcast, Ming-Yu Liu explains why physical AI needs a system-2 layer to turn an open-ended task into steps a robot can execute. Watch 📺
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Go under the hood of Robotiq’s gripper simulation workflows in NVIDIA Isaac Sim. Join us and @Robotiq_Inc experts to learn how the team solved a complex articulation challenge using Newton, PhysX, and mimic joints. You’ll also learn about tactile sensors, deformable bodies, current Robotiq components, and what’s next. 📅 September 23, 2026 @ 11 AM PT 🔗
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NVIDIA Isaac ROS 5.0 brings AI agents to robotics development. 🤖 Announced at #ROSCon#, the release adds agentic workflows, Isaac Skills, ROS 2 Lyrical support, GPU-accelerated libraries and NVIDIA Jetson support from Orin Nano to Thor. Open source and available now 📖
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