iiinova — where your digital self keeps evolving

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Eric Brachmann @ericbrachmann.bsky.social · 29/09/2025

Small but important quality of life update by @rerun.io: Customizable frustum colors. Finally we can distinguish estimates and ground truth in the same 3D view ;)

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lucasw @lucasw0.bsky.social · 10/09/2025

Have a sim vehicle in jolt-rust working with stacked hinges for wheel rotation and steering on two of four wheels, no suspension, visualized in @rerun.io:

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 26/06/2025

✨ Massive Pipeline Refactor → One Framework for Ego + Exo Datasets, Visualized with @rerun.io 🚀 After a refactoring, my entire egocentric/exocentric pipeline is now modular. One codebase handles different sensor layouts and outputs a unified, multimodal timeseries file that you can open in Rerun.

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 09/05/2025

MVP of Multiview Video → Camera parameters + 3D keypoints. Visualized with @rerun.io

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 02/05/2025

Trying to wrap my head around fwd/bwd kinematics for imitation learning, so I built a fully‑differentiable kinematic hand skeleton in JAX and visualized it with @rerun.io new callback system in a Jupyter Notebook. This shows each joint angle and how it impacts the kinematic skeleton.

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emilk @ernerfeldt.bsky.social · 24/04/2025

Exciting news for egui: there is a draft branch for switching the text handling to Parley, which will bring support for color emojis, right-to-left text, access to system fonts, and much more! github.com/emilk/egui/p...

github.com

[WIP] Render text with Parley by valadaptive · Pull Request #5784 · emilk/egui

Resolves Cosmic Text for font rendering #3378 Resolves Automatically load system fonts when needed #5233 Closes feat: add feature for load system fonts according user input #1687 (superseded) Resol...

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 24/04/2025

@rerun.io v0.23 is finally out! 🎉 I’ve extended my @gradio-hf.bsky.social annotation pipeline to support multiview videos using the callback system introduced in 0.23.

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 17/04/2025

Visualized with @rerun.io, I’ve integrated video‑based depth estimation into my robot‑training pipeline to make data collection as accessible as possible—without requiring specialized hardware.

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 10/04/2025

I extended my previous @rerun.io and @gradio-hf.bsky.social annotation pipeline for multiple views. You can see how powerful this is when using Meta's Segment Anything and multi-view geometry. Only annotating 2 views, I can triangulate the other 6 views and get masks extremely quickly!

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 01/04/2025

Here’s a sneak peek using @rerun.io and @gradio-hf.bsky.social for data annotation. It uses Video Depth Anything and Segment Anything 2 under the hood to generate segmentation masks and depth maps/point clouds. More to share next week.

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 25/03/2025

Using @rerun.io , I established a baseline from the HoCAP dataset and conducted a qualitative comparison among the ground-truth calibrated cameras, Dust3r, and VGGT—all within rerun. The improvements are evident in both the camera parameters and the multi-view depth map/point cloud.

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emilk @ernerfeldt.bsky.social · 20/03/2025

Rerun keeps growing! I’m so happy we started this thing, and that we’re building in the open, in Rust 🤘

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Rerun @rerun.io · 20/03/2025

1/ We just raised $17M to build the multimodal data stack for Physical AI! 🚀 Lead: pointnine.com With: costanoa.vc, Sunflower Capital, @seedcamp.com Angels including: @rauchg.blue, Eric Jang, Oliver Cameron, @wesmckinney.com , Nicolas Dessaigne, Arnav Bimbhet Thesis: rerun.io/blog/physica...

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 18/03/2025

More progress towards building a straightforward method to collect first-person (ego) and third-person (exo) data for robotic training in @rerun.io. I’ve been using the HO-cap dataset to establish a baseline, and here are some updates I’ve made (code at the end)

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 07/03/2025

Finally finished porting mast3r-slam to @rerun.io and adding a @gradio-hf.bsky.social interface. Really cool to see it running on any video I throw at it, I've included the code at the end

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 24/02/2025

I'm working towards an easy method to collect a combined third-person and first-person pose dataset starting Assembly101 from Meta, with near real-time performance via @rerun.io visualization. The end goal is robot imitation learning with Hugging Face LeRobot

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 11/02/2025

Following up on my prompt depth anything post, I'm starting a bit of a miniseries where I'm going through the tutorials of Lerobot to understand better how I can get a real robot to work on my custom dataset. Using @rerun.io to visualize code: github.com/rerun-io/pi0...

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Rerun @rerun.io · 06/02/2025

Rerun 0.22 is out! 🔎🟡🔜🔵 The release brings long-requested entity filtering for finding data faster in the Viewer, significantly simplified APIs for partial & columnar updates, and many other enhancements. vimeo.com/1054160833

vimeo.com

Rerun 0.22: entity filtering

This is "Rerun 0.22: entity filtering" by Nikolaus West on Vimeo, the home for high quality videos and the people who love them.

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Rerun @rerun.io · 04/02/2025

Egui's improved ui rendering & more is of course also going to show up in the next Rerun release! :)

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pablovelagomez.bsky.social @pablovelagomez.bsky.social · 03/02/2025

Recently, I've been playing with my iPhone ToF sensor, but the problem has always been the abysmal resolution (256x192). The team behind DepthAnything released PromptDepthAnything that fixes this. Using @rerun.io to visualize. Links at the end of the thread

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Rerun @rerun.io · 21/01/2025

Entity filtering coming up in the UI 👀

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Rerun @rerun.io · 18/12/2024

Rerun 0.21 is out! With it we’re introducing graphs in Rerun www.youtube.com/watch?v=071S...

youtube.com

New Graph View in Rerun 0.21

YouTube video by Rerun

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Rerun @rerun.io · 11/12/2024

We're #hiring for another super fun role: a #Robotics #ML Engineer! 1/4

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Damien LaRocque @historicode97.bsky.social · 06/12/2024

This year, while writing my master's thesis, I found this great blog post from @rerun.io that shows the structure of #rosbags. I recommend it to anyone who wonders how rosbags work. It helps understand why not all rosbags can be easily recovered when your robot's battery dies 🪫. rerun.io/blog/rosbag

rerun.io

From the Evolution of Rosbag to the Future of AI Tooling

Thirteen years ago, Willow Garage released ROS (the Robot Operating System) and established one of the standard productivity tools for the entire robotics industry.

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Rerun @rerun.io · 05/12/2024

Sneak peak: we're working on graphs in Rerun 👀

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Prefix.dev - the Pixi company @prefix.dev · 03/12/2024

Check out Pablo Vela Gomez's presentation at our Show & Tells! 🎥 Discover the ultimate 3D vision development experience with pixi, @rerundotio, @huggingface, and @Gradio. Watch now: www.youtube.com/watchv=ff7Bh... This video is one of the examples in his presentation:

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emilk @ernerfeldt.bsky.social · 02/12/2024

We implemented undo in @rerun.io by storing the viewer state in the same type of in-memory database we use for the recorded data. Have a look (sound on!)

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Rerun @rerun.io · 28/11/2024

World grid for our 3D views is coming along nicely!

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Vladimir Yugay @vyuga3d.bsky.social · 27/11/2024

Introducing “MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM”! We do SLAM with novel view synthesis capabilities on multiple simultaneously operating agents! vladimiryugay.github.io/magic_slam/i... 1/7

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Pranay Thangeda @pthangeda.bsky.social · 14/11/2024

Rerun (rerun.io) is honestly a must have in your robotics workflow, especially if you have data from multiple modalities! I found it a few months ago and use it almost every single day either to monitor a process online or to inspect some of the data I logged.

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Rerun @rerun.io · 22/11/2024

Once a quarter, we get the entire Rerun team together. We spent a cold week in Stockholm planning our 2025. Our remote model gives us access to an incredible global talent pool, but these in-person meetups are the secret ingredient that helps us align, solve problems, and load up on energy!

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