Teleoperation can be a powerful method, not only for performing complex tasks, but also for collecting on-robot data. This data is essential for robot learning from demonstrations, as teleoperation offers accurate and precise examples, plus natural and smooth trajectories for imitation learning. These allow the learned policies to generalize to a environments, configurations, and tasks.
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