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TinyNav: A lightweight, hackable system to guide your robots anywhere. by @dvorak0

Joined April 2025
Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)Photo by UniflexAI (@UniflexAI)
Excited to share that TinyNav now has an app! We’re making robot navigation more accessible for everyone. More updates are on the way—stay tuned.
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Insight 9 SLAM Robustness Test 🎥 We put our AI-native spatial camera through rapid, dynamic movements. Watch the right screen: TinyNav VSLAM trajectory in RVIZ stays perfectly stable. 24G accelerometer & 188° ultra-wide FOV = zero tracking loss.#SLAM #Robotics #EmbodiedAI #VSLAM
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FoundationStereo >> FastFoundationStereo > Retinify
We expected FastFoundationStereo to be close to FoundationStereo. We were wrong. On Jetson Orin Nano: - FoundationStereo surprised us — lidar-quality point cloud - FastFoundationStereo is far worse (yes, it is indeed fast) - Retinify matches FastFoundationStereo's quality but is faster Speed: 100ms vs 15ms. Our fork fixed the 2-stage ONNX export with custom TensorRT plugins → single ONNX/plan. Repo: github.com/UniflexAI/Fast-Fo… cc @retinify @bowenwen_me
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Tuned a faster Harris frontend kernel on an A55 ARM CPU @ 1.5GHz. For 752×480 EuRoC frames: • 59.49 ms → 21.51 ms • 2.77x faster Harris Same output: • 159 detected points • 139 tracked points Pipeline runtime: • 68.43 ms → 43.20 ms
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We expected FastFoundationStereo to be close to FoundationStereo. We were wrong. On Jetson Orin Nano: - FoundationStereo surprised us — lidar-quality point cloud - FastFoundationStereo is far worse (yes, it is indeed fast) - Retinify matches FastFoundationStereo's quality but is faster Speed: 100ms vs 15ms. Our fork fixed the 2-stage ONNX export with custom TensorRT plugins → single ONNX/plan. Repo: github.com/UniflexAI/Fast-Fo… cc @retinify @bowenwen_me
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If you know your hardware well enough, you can still write code that's faster than today's AI. I wrote a Harris corner detector kernel that's 2× faster than OpenCV.
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Just updated it to include frontend benchmarks. The first version compares Harris + Optical Flow with ORB + Hamming matching. Keep watching: github.com/dvorak0/slambench You can also easily reproduce the test with: docker run --rm --cpuset-cpus="0" uniflexai/slambench:latest
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Thanks for open-sourcing such great models. In our early test, Fast Foundation Stereo reached real-time performance (>13.5 FPS) with max disparity 64 on Jetson Orin NX — honestly much better than we expected. We’re planning to integrate it into our open-source navigation stack soon: github.com/UniflexAI/tinynav
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I’ve updated github.com/dvorak0/slambench with more benchmark results, including row-major vs column-major comparisons and GTSAM SmartFactor benchmarks. Added a summary screenshot below — check it out!
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Working on SLAM for years, I’m constantly asked: which method is faster? So I made a one-line command to benchmark solver speed with the standard dubrovnik/problem-16-22106-pre.txt input: `docker run --rm uniflexai/slambench:latest` Run it, share your result, and tell me if anything looks unexpected. cc @gtsam4 @SkydioHQ @sandwichmaker
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The wait is over. Meet Insight 9👁️ Native Spatial AI. 24g IMU. All packed in a Premium Aluminum Alloy Case. We are redefining vision for Embodied AI. Coming exclusively to Kickstarter. #SpatialAI #Robotics #Kickstarter #TechLeak #EmbodiedAI #TechNews #TechTrends
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🚀 Introducing the TinyNav Bounty Program We’re rewarding the community for contributions that improve navigation, perception, and tooling in physical AI. 🧠 Bug reports 🧩 Code contributions 📝 Docs & tutorials 🎥 Demos & content Earn rewards while shaping the future of open robotics. 🔗 Details: docs.google.com/spreadsheets… #TinyNav #Robotics #OpenSource #PhysicalAI
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UniflexAI retweeted
Is it just me or are these robots getting TOO real? 🤖 Caught this @UnitreeRobotics dog zooming past. That new sensor rig looks like giant shades 🕶️. Scary smooth gait. Is this a secret field test? 🤯🔥 #Robotics #Unitree #TechLeak #FutureIsHere #Spotted
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saw completely new design of the head. @UnitreeRobotics is going to navigate the robots using stereo camera, just like our open source project tinynav github.com/UniflexAI/tinynav
WTF is this?? Just saw this robot walking in the park lol. Is this a new Unitree model or what? I’ve never seen this head design before, like it’s wearing futuristic giant sunglasses. Probably some crazy new cameras inside? Anyone know? New leak? #Robotics #Unitree #TechLeak
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Excited to share a video about the workflow of our project! From zero to navigation with TinyNav 🗺️➡️🤖 1️⃣ Build a map 2️⃣ Add POIs in the editor 3️⃣ Let your robots navigate, correctly react to obstacles, and find feasible paths Keep an eye on TinyNav — a ~3,000-line open-source navigation stack for multiple robot platforms 🚀 We’ve added a remote interface using @foxglove — an amazing tool. Thanks, Foxglove 🙌 #Robot #Unitree #navigation
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We need re-consider our stereo model! I will report the difference soon in our project.
A new milestone for real-time accurate 3D spatial computing! Introducing ⚡️Fast-FoundationStereo⚡️, a real-time zero-shot stereo depth estimation model that accelerates the original FoundationStereo by >10x with comparable quality. Details in threads 🧵 (1/N)
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Cool! New player in the room.
Today we’re thrilled to announce #SharpaWave — our first dexterous robotic hand — now officially in mass production and delivery! Robotic dexterity just took a leap forward. #Sharpa #Robotics #AI #DexterousHand #Robot #Humanoid #TactileSensing
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