Gave a robot 3D vision with just a regular... camera👁️ Full Tutorial: Deployed #Depth Anything V3​ on NVIDIA Robotics Jetson AGX Orin. It estimates depth from 2D images in real-time—no special sensors needed. Just need #Monocular depth estimation + #TensorRT​ optimization + #ROS2​ integration. 👉 Learn more about reComputer Robotics J5011: #TheAIHardwarePartnershow more

Spent some time this week playing with depth estimation... models. Monocular depth estimation has come a long way, but in terms of metric accuracy and geometric consistency, stereo depth still has it beat by a wide margin. DepthPro (mono) vs FoundationStereo (stereo)show more

Meet Seeed at #GTC2026 in Day1! We're live with:... ▶️ #reBot B601 Arm: Watch it doing real-time teleoperation + NVIDIA Robotics Isaac Sim visualization. ▶️ #Openclaw+#JetsonThor→Robot Control: Jetson Thor running local #LLMs to control a robot with natural language. ▶️ #ReachyMini: powered by the #reComputer J4012 with #JetsonOrinNX, reading your vibe with on-device vision & AI. Touch, test, and talk tech with us! 📍San Jose, California, USA 📅 March 16th–19th 🏛️ San Jose Convention Centee, Booth 156 #theAIHardwarePartnershow more

AnyDepth: Lightweight zero-shot monocular depth estimation; surpasses DPT; -... nicely preserves detail.show more

Depth Anything V2 is a total beast for real-time... 3D. Built a website that hits 30fps+ depth reconstructions from a single camera feed, extruding 12k voxels via WebGPU. Pure ML running local Vision Transformers with Three.js and zero backend lag. Lmk in the comments if you want a copy! 🙌 Experience and music made with AI in Omma (tool by Spline).show more

One more turn with this #AR: added underwater transition.... All real-time, based on #ML scene depth estimation. Built in Effect House.show more

Turning mobile photos into robot-ready 3D worlds just got... easier. 🤖 With NVIDIA Omniverse NuRec, developers can reconstruct lifelike environments for robotics simulation using a smartphone. Learn how ➡️show more

Video diffusion models are just overqualified depth estimators! Deterministic... single-pass depth estimation based on WanV2.1. - SOTA 5.5 AbsRel on ScanNet - data-efficient than baselines; - no temporal flicker + infinite-length estimation w/ zero scale drift.show more

Discover the right 3D Geometric Foundation Model for your... task—whether it’s stereo matching, multi-view depth estimation, video depth, pose estimation, semantic understanding, or novel view synthesis. Explore more insights in our #E3DBench #FoundationModel #3D #GaussianSplatting. Project Webpage:show more

Google just revealed an ABSOLUTE depth estimation model 🤯... As opposed to recent depth models (Marigold, PatchFusion) which aim for maximum details, DMD aims to estimate the ABSOLUTE depth (in meters) within the image More details below ⬇️⬇️show more

improving my 3D hand tracking template by adding depth-anything-v2... using mediapipe for X/Y movement and depth-anything for Z movement here i'm controlling a threejs scene in realtime with input from a single webcamshow more

I added a node to my custom node that... converts the depth image to a normal map! This is useful for 2D-style images where Normals Estimation doesn't work well.show more

Happy Monday! We just added raycast sensors to mjlab.... They let a robot sample the scene with virtual rays, returning distances and surface geometry. Rays can use orthographic projection for terrain scanning or perspective projection for simulating a depth camera.show more

Robots can now reconstruct 3D scenes in real time... from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:show more

Left: raw depth from the OAK-D Pro W camera... Right: depth from FoundationStereoshow more

From simulation to reality 🤖 Robotics creator Skyentific built... a walking bipedal robot using a simulation-first approach to design, test, and iterating in virtual environments before deploying in the real world. Powered by the NVIDIA Isaac platform and NVIDIA Jetson for on-device AI and control. 📖 #NationalRoboticsWeekshow more

🤔Applying Depth Estimation models directly to videos can result... in inconsistency between frames. 💪Well, not anymore. 🔥ChronoDepth is a new approach to video depth estimation that focuses on achieving both accuracy within each frame and consistency across frames. 📜More👇show more

Introducing 🛹 RollingDepth 🛹 — a universal monocular depth... estimator for arbitrarily long videos! Our paper, “Video Depth without Video Models,” delivers exactly that, setting new standards in temporal consistency. Check out more details in the thread 🧵show more

Revisiting this game a few months later: (i) It's... pretty impressive that general-purpose image generators can estimate meaningful depth from a single photo. (ii) Monocular depth remains pretty awful for 3D reconstruction! Here Gemini > GPT > Qwen. (At least I hope so!…🫣)show more

BaBot: A Ball-Balancing Robotics Kit BaBot is a do-it-yourself... ball-balancing robot kit designed as a hands-on platform for learning robotics and control systems. It enables users to explore concepts such as PID control, sensors, actuators, and software integration through practical experimentation. The kit is intended for students, makers, and others interested in applied robotics without requiring a formal engineering background. Credit: Babot Project #arduino #ai #robotics #3dprint #engineeringshow more