Rerun
Rerun is a robotics and physical-AI data platform used for ingesting, visualising, and analysing data from robot experiments and production workloads.
Key facts
- Type: Robotics data and visualisation platform
- Role in source: Presented as infrastructure for understanding what robots perceive and do during experiments [src-076]
- Use case: Collecting, sorting, replaying, and analysing sensor, perception, and robot-run data [src-076]
- Associated theme: Physical AI requires a data loop, not only robot hardware or model code [src-076]
What it does
The source positions Rerun as part of the tooling layer needed when robotics projects become data-rich. Cameras, sensors, logs, and model outputs need to be inspected and replayed so builders can understand failures, train better models, and make robot behaviour debuggable [src-076].
Related concepts
Source references
- [src-076] Back to Engineering (iulia) – physical AI, robotics, and data science cluster (41 videos, 2018-12-16 to 2026-05-10)
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