Here is a mobile robot navigation that uses an autonomous self-supervised learning based navigation system to overcome challenges in real-world environments. The Berkeley Autonomous Driving Ground Robot (BADGR) learns to navigate by autonomously collect data. It labels data using self-supervision and uses a neural network predictive model to determine which actions lead to which outcomes.
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Thanks to this approach, BADGR can navigate in off-road and urban environments.
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