NVIDIA Releases VFlash, a System-1 VLM for Physical AI
Website: https://t.co/nQodFamRAR Please check out project lead @ZhidingYu's deep dive post! https:...
VFlash treats visual planning as a fast, System-1 capability, pointing to a shift in how embodied agents handle low-latency decision-making instead of reasoning purely through text. Robotics and physical AI developers can review the project page and the lead's thread to understand the architecture details. It comes from the same NVIDIA research group as Jim Fan's GEAR Lab, whose embodied agent work is a useful benchmark for comparison.
NVIDIA's LPR Team and GEAR Lab introduced VFlash, a vision-language model designed for embodied AI that thinks in visual plans rather than text. The project was announced on X by project lead Zhiding Yu, with collaborators including YuCheng Chou, Shihao Wang and Jin Huang. The work comes from NVIDIA's LPR team led by Jan Kautz and Jim Fan's GEAR Lab. A project website is available at research.nvidia.com/labs/lpr/vflash, and a technical deep-dive thread was posted by Zhiding Yu.
Website: https://t.co/nQodFamRAR Please check out project lead @ZhidingYu's deep dive post! https:...
Website: research.nvidia.com/labs/lpr/vflas… Please check out project lead @ZhidingYu 's deep dive post! x.com/ZhidingYu/stat… Zhiding Yu @ZhidingYu Embodied models don't just think in text, they can think in visual plans, and fast. Introducing VFlash, System-1 VLM for Physical AI. Joint work by @YuCheng_Chou_ , Shihao Wang and Jin Huang, LPR Team ( @jankautz ), GEAR Lab ( @DrJimFan ), and many other collaborators. 🌐 Website: research.nvidia.com/labs/lpr/vflas… P 🧵[1/8] More details in the thread👇 Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 1 🔄 2 ❤️ 12 👀 2479 📊 2 ⚡
