A technique that allows legged robots to continuously learn from their environment


Legged robots have numerous advantageous qualities, including the ability to travel long distances and navigate a wide range of land-based environments. So far, however, legged robots have been primarily trained to move in specific environments, rather than to adapt to their surroundings and operate efficiently in a multitude of different settings. A key reason for this is that predicting all the possible environmental conditions that a robot might encounter while it is operating and training it to best respond to these conditions is highly challenging.
Source: phys.org

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