Maximize Robotics Performance by Post-Training NVIDIA Cosmos Reason | NVIDIA Technical Blog
Maximize Robotics Performance by Post-Training NVIDIA Cosmos Reason | NVIDIA Technical Blog
9 months ago
nvidia.com
Introducing VLM-based ArmAI A breakthrough in robotics powered by a next-gen Vision-Language Model (VLM)! ArmAI enables robots to truly understand human intent by interpreting user-provided images and text prompts to generate precise control commands — no manual programming required. Just show it. Prompt it. Watch it move. The robotic arm then autonomously moves toward the specified object, turning vision and language into real-world action. This is more than robotics — this is intelligence in m
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Introducing VLM-based ArmAI A breakthrough in robotics powered by a next-gen Vision-Language Model (VLM)! ArmAI enables robots to truly understand human intent by interpreting user-provided images and text prompts to generate precise control commands — no manual programming required. Just show it. Prompt it. Watch it move. The robotic arm then autonomously moves toward the specified object, turning vision and language into real-world action. This is more than robotics — this is intelligence in m
926 viewsMay 17, 2025
FacebookAI FARM ROBOTICS
"Fine-Tuning VLM for Autonomous Mobile Robot" ImageAI is our fine-tuned Vision-Language Model (VLM), designed to interpret visual scenes and natural language prompts. Integrated into an Autonomous Mobile Robot, it enables the robot to independently capture images of its environment. When the user provides a prompt, ImageAI processes both the visual and textual input to understand the intent and guide the robot’s autonomous navigation and actions. It sees. You prompt. It understands. It moves. #I
1:45
"Fine-Tuning VLM for Autonomous Mobile Robot" ImageAI is our fine-tuned Vision-Language Model (VLM), designed to interpret visual scenes and natural language prompts. Integrated into an Autonomous Mobile Robot, it enables the robot to independently capture images of its environment. When the user provides a prompt, ImageAI processes both the visual and textual input to understand the intent and guide the robot’s autonomous navigation and actions. It sees. You prompt. It understands. It moves. #I
719 views11 months ago
FacebookAI FARM ROBOTICS
Learn how to effectively prompt a VLM for single-image, multi-image, and video-understanding use cases 🔗 https://nvda.ws/41Gq9d8 | NVIDIA Robotics
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Learn how to effectively prompt a VLM for single-image, multi-image, and video-understanding use cases 🔗 https://nvda.ws/41Gq9d8 | NVIDIA Robotics
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FacebookNVIDIA Robotics
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Continuous-video agents (computer use, robotics, static scenes) burn compute re-ingesting pixels that didn't move.VLMaxxing teaches a frozen video VLM to skip the reruns. 54 fps perception on Gemma 4 26B, training-free, no accuracy drift.w/ @jfbastien (arXiv 2605.03351)
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Continuous-video agents (computer use, robotics, static scenes) burn compute re-ingesting pixels that didn't move.VLMaxxing teaches a frozen video VLM to skip the reruns. 54 fps perception on Gemma 4 26B, training-free, no accuracy drift.w/ @jfbastien (arXiv 2605.03351)
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x.comSam D'Amico
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