Tycho87
Humanoids In-the-Wild Dataset
The Robotics Experiment Loop
Robotics Teams Are Rebuilding the Data Stack from Scratch
Moritz from team Rerun here. Great to see the viewer in your post!
A new data layer for robot learning
The Data Layer Tax for Robot Learning
Can you MoCap a parkour video?
In 0.30, you can plot arbitrary scalar data directly in time series views — floats, ints, uints, bools, including nested Arrow data — even without predefined semantics.
This release also introduces a new extension model: you can register custom visualizers directly into existing 2D/3D/Map views, define your own archetypes, and use fully custom shaders — without forking the Viewer. That means domain-specific GPU renderers (e.g., height fields, cost maps, learned fields) can live inside the standard app.
The Viewer now supports on-demand streaming when connected to a Rerun server or Rerun Cloud, fetching only what you’re viewing and evicting stale data as you scrub. This enables working with recordings larger than RAM — including in the web viewer beyond the 4 GiB Wasm limit.
Interested in feedback from people building robotics tooling, telemetry pipelines, or large-scale visualization systems.
Rerun 0.30: Plot Any Scalar and Custom GPU Visualizers
Visualize OpenUSD in Rerun
Rerun 0.28 – easier use with ROS style data
SAM3D Body with Rerun
MCAP Support Lands in Rerun
User Defined Types and Custom Metadata in DataFusion
Rerun 0.25 – transparency, table filtering and initial MCAP support
TRLC-DK1: An Open Source Dev Kit for AI-Native Robotics
Rerun: Physical AI visualization written in Rust
Rerun is easy to use! You can use the Rerun SDK (available for C++, Python and Rust) to log data like images, tensors, point clouds, and text. Logs are streamed to the Rerun Viewer for live visualization or to file for later use. You can also query the logged data through a dataframe API.