UniflexAI

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

[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.

[LooperRobotics @LooperRobotics]

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

[UniflexAI @UniflexAI]

FoundationStereo >> FastFoundationStereo > Retinify

[UniflexAI @UniflexAI]

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: https://t.co/Im3CSWXuYV
cc @retinify @bowenwen_me

[UniflexAI @UniflexAI]

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

[UniflexAI @UniflexAI]

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: https://t.co/Im3CSWXuYV
cc @retinify @bowenwen_me

[UniflexAI @UniflexAI]

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.

[UniflexAI @UniflexAI]

Just updated it to include frontend benchmarks. The first version compares Harris + Optical Flow with ORB + Hamming matching.

Keep watching: https://t.co/p9u731gs0e
You can also easily reproduce the test with:
docker run --rm --cpuset-cpus="0" uniflexai/slambench:latest

[UniflexAI @UniflexAI]

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:
https://t.co/bl4FAhcC0O

[Bowen Wen @bowenwen_me]

🚀Our code is released: https://t.co/dVR31nz4Fh
Enjoy!

[UniflexAI @UniflexAI]

I’ve updated https://t.co/p9u731gs0e with more benchmark results, including row-major vs column-major comparisons and GTSAM SmartFactor benchmarks.
Added a summary screenshot below — check it out!

[UniflexAI @UniflexAI]

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

[LooperRobotics @LooperRobotics]

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

[UniflexAI @UniflexAI]

🚀 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: https://t.co/ZHIPWKV44n
#TinyNav #Robotics #OpenSource #PhysicalAI

[hihiwang @jrewxe43]

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

[UniflexAI @UniflexAI]

saw completely new design of the head. @UnitreeRobotics is going to navigate the robots using stereo camera, just like our open source project tinynav https://t.co/dSOSmpr9Wv

[Vanessa @Vanessa12659873]

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

[UniflexAI @UniflexAI]

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

[UniflexAI @UniflexAI]

We need re-consider our stereo model! I will report the difference soon in our project.

[Bowen Wen @bowenwen_me]

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)

[UniflexAI @UniflexAI]

@pablovelagomez1 @rerundotio @Gradio can't believe SAM works for so many classic vision problems.