I was preparing a video to introduce our lab Intelligent Robotics and Vision Lab @ UTDallas for a meeting. Happy to share the video here! We are looking forward to collaborating with both academia and industry. Please feel free to reach out

動画でフレーム間の一貫性が得られるか気になる あと処理速度と人物などまるっこいもの

Synthetic data generation tools like MimicGen create large sim datasets with ease, but using them in the real-world is difficult due to the large sim-to-real gap. Our new work uses simple co-training to unlock the potential of synthetic sim data for real-world manipulation!

Super cool project! Glad to see FoundationPose (github.com/NVlabs/Foundat…) enables learning from low-cost hand-object demonstrations.

Come and join us! Also make sure you have signed up for our social event (events.nvidia.com/nvcvprresearch…) and earn free GPU 😍 #CVPR #CVPR2025

Thrilled to be nominated as best paper award candidate!! Looking forward to more chats at CVPR. #CVPR2025

Want a better representation for collision avoidance and grasping from dense clutter? Try out RaySt3R: our new 3D shape completion pipeline from single-view RGBD (led by Bardienus Duisterhof)!

Kudos to Aria team and exciting support of FoundationStereo (nvlabs.github.io/FoundationSter…)! High quality 3D human demonstration data collection for robot learning will be a breeze 😌 NVIDIA AI Developer AI at Meta #xr #technology

Incredible learned behavior (assuming no human intervention) at 48:05 when it failed a couple of times but then it suddenly knows how to make it right. Amazing progress!

Don’t miss this exciting workshop happening tomorrow at #GTCParis.

I use two factors to analyze robot autonomy: environment diversity and task diversity. If a robot just replays data from a single task and environment, of course it’ll succeed. Real autonomy lies in pushing toward the top-right corner of this figure—generalizing both.

Come and say 👋 tomorrow (06/13) for our oral (1pm, Karl Dean Ballroom) and poster sessions (4pm, ExHall D, #81)! #CVPR2025 #CVPR2025 CVPR News NVIDIA AI Developer NVIDIA Robotics #NVIDIA

Had a great PIRA workshop at CVPR, thanks to Vincent Vanhoucke, Kartik Iyer, Bowen Wen, Kartik Venkataraman, and Tomáš Hodaň

Join us today to learn how to push the boundaries of stereo depth estimation!!

Explore a variety of perception models and systems from #NVIDIAResearch that support a unified 3D perception stack for #robotics. These tools enable robots to understand and interact with unfamiliar environments in real-time. 🤖 Learn more 👉 nvda.ws/4jXKSPE

Angela Yao Simar Kareer Using FoundationStereo Bowen Wen

Do not miss this great research internship opportunity!

Stereo depth sensing is set to revolutionize 3D perception. Can't wait to see the new innovations and applications that emerge! #3Dperception #computervision #robotics realsenseai.com/news-insights/…

Why don't you just say "this message is for Chinese researchers"? Besides, I am also amazed by your superpower to recognize the ethnicity of anonymous reviewers. Otherwise, how could one just assume a negative review is from a WeChat user?

On-board (Jetson Orin NX 16GB) real-time (10Hz) depth estimation from stereo fisheye cameras with github.com/NVlabs/Foundat… by Bowen Wen (5/n)