/ PRZEWODNIKI
Jak zbudować pipeline danych robotycznych, który się nie zawiedzie.
Playbooki zespołów prowadzących floty teleoperacji i zbieranie demonstracji na dużą skalę. Każdy przewodnik to procedura, którą można dać inżynierowi w poniedziałek rano.
/ Collection playbooks
How to Collect Robot Demonstration Data
A seven-step procedure for collecting robot demonstration data: task definition, interface choice, rig instrumentation, pilot batch, QA, and export.
Designing a Robot Data Collection Protocol
How to write a robot data collection protocol that keeps operators consistent: scene randomization, episode boundaries, failure labeling, and versioning.
Scaling Robot Data Collection
How to scale robot data collection past a pilot batch: what breaks between 100 and 10,000 episodes, and how to gate scaling in stages.
Hiring and Training Teleoperators
Hiring and training teleoperators: a structured onboarding curriculum, calibration sessions, quality metrics, and fatigue management for the role.
/ Training and formats
Training a VLA on Your Own Robot Data
How to fine-tune or train a vision-language-action policy on your own robot data, from format conversion and normalization to real-robot evaluation.
Choosing a Robot Data Format
A decision framework for robot data formats: MCAP, ROS 2 bag, HDF5, Parquet, Zarr, LeRobot, RLDS, and WebDataset, compared by constraint.
/ Data quality
QA for Robot Demonstration Datasets
A QA pipeline for robot demonstration data: automated checks, human review sampling, an accept/reject/repair rubric, and metrics to track.
Calibrating a Multi-Camera Robot Rig
How to calibrate intrinsics, extrinsics, and hand-eye transforms on a multi-camera rig, and verify the result with reprojection error.
Language Annotation for Robot Datasets
Language annotation for robot datasets: choosing instruction granularity, writing a style guide, paraphrase augmentation, and VLM-assisted labeling.
/ Operations
What Robot Data Collection Costs
What robot data collection actually costs: the real cost drivers, a cost-per-usable-episode model you can build from your own numbers, and build vs. buy.
Safety for Remote Robot Operation
A practical framework for teleoperation safety: layered protection, dead-man devices, network-loss failsafes, latency budgets, and standards to consult.
Robot Dataset Licensing and Provenance
How to settle data ownership, choose a license for a public release, and build the provenance record that makes a robot dataset trustworthy and reusable.
Wprowadź to w życie.
Powiedz nam, czego mają nauczyć się Twoje roboty. Dobierzemy stanowisko, operatorów, protokół i pierwsze zbiory danych — zwykle podczas jednej rozmowy.