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Explore 4 articles on How learning works from How Robots Learn.
A loader can complete a requested window near an episode’s end by repeating the final frame as padding. That repetition differs from both newly recorded steps and the earlier context supplied through frame stacking.
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A robot demonstration dataset can align images and other observations with recorded actions, organize them into trajectories, and supply schemas, task or environment context, statistics and subset labels. These files are inputs to learning algorithms, not learned policies themselves, and the presence of rewards or termination signals alone does not independently confirm successful task completion.
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Human-guided recordings pair camera observations with actions. LeRobot trains a network to imitate trajectories, then uses an autonomous rollout to run the trained policy on the robot.
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A practical framework for assessing robot skill claims through defined success, held-out tasks, varied conditions, physical tests and recovery.
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