How to convert raw life experiences into labeled datasets for robotics and AR applications

How to convert raw life experiences into labeled datasets for robotics and AR applications

This task can be performed using Chronicles

Chronicles: Your life, beautifully organized into unforgettable stories.

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Chronicles

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Chronicles lets you record, annotate, and organize egocentric data from first-person experiences, then export it into training-ready datasets. It streamlines the entire pipeline from raw recordings to structured labels, supporting embodied AI, robotics, and AR research teams.

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What to expect from an ideal product

  1. Record your daily activities through first-person cameras and sensors, then use Chronicles' annotation tools to mark important objects, actions, and events that happened during each experience
  2. Turn messy raw footage into clean, structured data by tagging specific moments with labels like "picked up coffee mug" or "opened door" using Chronicles' built-in labeling system
  3. Export your annotated experiences directly into popular machine learning formats that robotics teams can immediately use for training their models without additional conversion work
  4. Organize multiple recording sessions into themed collections so you can build comprehensive datasets around specific tasks like cooking, cleaning, or navigating indoor spaces
  5. Share your labeled datasets with research teams and developers who need real human behavior data to teach robots and AR systems how people actually move and interact with their environment

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