We Need a Unicode for Tactile Data — Here's Why I Built One

Описание и применение

TLabel объединяет данные с различных тактильных сенсоров в единый формат, избавляя от необходимости писать отдельные адаптеры и ускоряя разработку моделей.

Задача

Tactile sensor data is fragmented across dozens of incompatible formats, forcing developers to write separate adapters for each sensor and hindering progress in embodied AI.

Результат

By adopting TLabel, developers can load data from multiple tactile sensors into a single, consistent structure, eliminating adapter duplication and accelerating model training and data analysis.

Рабочий процесс

• Install TLabel via pip
• Use tlabel.load() to read sensor files (e.g., GelSight, BioTac, PaXini)
• Access the unified TLabelData structure for downstream tasks
• Export data to standard formats (Zarr, LeRobot) or use CLI for quality scoring

Доказательства

TLabel is at v0.20.1 with 13 sensor adapters already built. It supports export to FTP-1 Zarr (for foundation models) and LeRobot format.

Источник

pip install tlabel

Источник