guides
Practical guides for robotics data teams.
Short, opinionated pieces on the decisions that shape a dataset — written from the problems we see most often.
Structuring robot episodes for learning
How to segment continuous recordings into episodes, attempts, and sub-tasks that models — and annotators — can actually use.
Read the guideWriting annotation guidelines for multimodal robotics data
Guidelines that hold across annotators, sensors, and months — and how to keep them alive as the dataset grows.
Read the guideEvaluating robot policies by condition, not by average
Why a single success rate hides deployment risk, and how to build evaluation suites that reveal where a policy actually breaks.
Read the guideHuman oversight in agentic labeling
Principles for using software agents in annotation without giving up control, accountability, or dataset integrity.
Read the guide