Generalist robot policies need a benchmark that works across any robot and any policy. 🦾Introducing RoboLab, a high‑fidelity simulation benchmark built on NVIDIA Isaac and Omniverse to evaluate generalist robot policies in diverse, photoreal, physics‑based environments.Coming soon to the NVIDIA Isaac Lab‑Arena roadmap for large‑scale, robotic policy evaluation. 📖 https://t.co/wW472SHXPz#NationalRoboticsWeek
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x.comNVIDIA Robotics
Generalist robot policies need a benchmark that works across any robot and any policy. 🦾Introducing RoboLab, a high‑fidelity simulation benchmark built on NVIDIA Isaac and Omniverse
NVIDIA Robotics (@NVIDIARobotics). 259 likes 9 replies. Generalist robot policies need a benchmark that works across any robot and any policy. 🦾Introducing RoboLab, a high‑fidelity simulation benchmark built on NVIDIA Isaac and Omniverse to evaluate generalist robot policies in diverse, photoreal, physics‑based environments.Coming soon ...
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Building robots that work in the real world starts in simulation. 🦾Explore our end-to-end workshop to see how you can train and deploy a physical AI model on a real robot, using the SO‑101 arm with NVIDIA Isaac as a hands-on example.You’ll learn how to:🛠️ Set up your robot lab📊Collect data, train and evaluate🔄Augment datasets📏 Measure the actuation gapStart the free tutorial 👉 https://t.co/zlE5XACDufOverview 🎥
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Building robots that work in the real world starts in simulation. 🦾Explore our end-to-end workshop to see how you can train and deploy a physical AI model on a real robot, using the SO‑101 arm with NVIDIA Isaac as a hands-on example.You’ll learn how to:🛠️ Set up your robot lab📊Collect data, train and evaluate🔄Augment datasets📏 Measure the actuation gapStart the free tutorial 👉 https://t.co/zlE5XACDufOverview 🎥
x.comNVIDIA Robotics
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#nvidia #nvidiaomniverse #robotics #isaacsim #isaaclab #reinforcementlearning #ai #simulation #frankaemika #machinelearning | umang chudasama
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Simulate Robotic Environments Faster with NVIDIA Isaac Sim and World Labs Marble | NVIDIA Technical Blog
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Building robots that work in the real world starts in simulation. 🦾Explore our end-to-end workshop to see how you can train and deploy a physical AI model on a real robot, using the SO‑101 arm with NVIDIA Isaac as a hands-on example.You’ll learn how to:🛠️ Set up your robot lab📊Collect data, train and evaluate🔄Augment datasets📏 Measure the actuation gapStart the free tutorial 👉 https://t.co/zlE5XACDufOverview 🎥
0:06
Building robots that work in the real world starts in simulation. 🦾Explore our end-to-end workshop to see how you can train and deploy a physical AI model on a real robot, using the SO‑101 arm with NVIDIA Isaac as a hands-on example.You’ll learn how to:🛠️ Set up your robot lab📊Collect data, train and evaluate🔄Augment datasets📏 Measure the actuation gapStart the free tutorial 👉 https://t.co/zlE5XACDufOverview 🎥
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x.comNVIDIA Robotics
#nvidia #nvidiaomniverse #robotics #isaacsim #isaaclab #reinforcementlearning #ai #simulation #frankaemika #machinelearning | umang chudasama
#nvidia #nvidiaomniverse #robotics #isaacsim #isaaclab #reinforcementlearning #ai #simulation #frankaemika #machinelearning | umang chudasama
2 months ago
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Simulate Robotic Environments Faster with NVIDIA Isaac Sim and World Labs Marble | NVIDIA Technical Blog
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Check out these groundbreaking demos showcased at NVIDIA’s new research lab in Seattle that will set a foundation for next generation #robotics. Learn more: https://nvda.ws/2Codmzh #BrainsBehindTheBots | NVIDIA Robotics
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Check out these groundbreaking demos showcased at NVIDIA’s new research lab in Seattle that will set a foundation for next generation #robotics. Learn more: https://nvda.ws/2Codmzh #BrainsBehindTheBots | NVIDIA Robotics
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Physical AI is reshaping how we build robots. 🤖Join our engineers for an introduction to building, simulating, and deploying smarter robots using NVIDIA Isaac Sim, Isaac Lab, and Cosmos at #NVIDIAGTC. 🛠️ 🗓️ Thurs, March 19 | 9:00 AM PTAdd to schedule 🔗
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Physical AI is reshaping how we build robots. 🤖Join our engineers for an introduction to building, simulating, and deploying smarter robots using NVIDIA Isaac Sim, Isaac Lab, and Cosmos at #NVIDIAGTC. 🛠️ 🗓️ Thurs, March 19 | 9:00 AM PTAdd to schedule 🔗
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Celebrating the #robotics community during #NationalRoboticsWeek. 👏 The University of Washington's Wheeled Lab project is bringing sim-2-real #robotics to low-cost, open-source platforms using NVIDIA Isaac Lab for reinforcement learning on wheeled robots. Learn more about their work ➡️https://nvda.ws/3G0I31T | NVIDIA Robotics
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Celebrating the #robotics community during #NationalRoboticsWeek. 👏 The University of Washington's Wheeled Lab project is bringing sim-2-real #robotics to low-cost, open-source platforms using NVIDIA Isaac Lab for reinforcement learning on wheeled robots. Learn more about their work ➡️https://nvda.ws/3G0I31T | NVIDIA Robotics
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Real-world robot data is expensive and slow to collect, creating a major challenge for humanoid development. 🤖 The NVIDIA GR00T N1.6 open vision language action model is pre-trained on a diverse mix of data, including thousands of hours of Stanford Vision and Learning Lab’s BEHAVIOR simulation data, which covers long-horizon everyday manipulation tasks. This diverse training is the key to robust cross-embodiment performance and real-world adaptability. 🌍 Read the blog 🔗 https://nvda.ws/4q3Kn9
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Why do people believe in humanoid robotics? 🤔 Hear from Yashraj Narang, head of NVIDIA's Seattle Robotics Lab, on why human-like forms matter for robots and how NVIDIA's full-stack approach makes them more adaptive for real-world use. Listen to the podcast 🎧 https://nvda.ws/47JK7aB | NVIDIA Robotics
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🤖 AI is transforming robotics from simulation to real-world action. Today’s episode of the NVIDIA AI Podcast features Yashraj Narang, Sr. Research Manager at NVIDIA & Head of the Seattle Robotics Lab. He discusses: 🧠 The rise of vision-language-action models in robotics 💡 The “three computer” solution shaping robotics 🦾 Why humanoid robots are closer to reality than ever 🎧 Listen to the new episode: https://nvda.ws/4goqyqo | NVIDIA AI
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