Blog
Building the Most Diverse UMI Dataset in Robotics
How we scaled UMI collection to over one million unique tasks in eight weeks and optimized costs down to $10 per recorded hour.
Argus: A Dense Annotator for Robotics Data
Introducing Argus, an open source dataset-and-format-agnostic harness for the densest annotation of robot learning data.
We Looked at the Data
We found recurring quality problems during an audit of popular public robotics datasets, and are releasing a manifest of the results.
Introducing Reinforced Planning (RP-1)
The first fully learned planner to refine robot action plans from scratch: 2.4x higher success on hard tasks and 67x faster at scale.