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From Singularity Hub:
From infancy, humans slowly figure out how to adjust the tension in their legs to maintain their balance and speed while walking. Now a six legged robot is learning the same skills. EduBot at the Kod*Lab at UPenn, is a hexapod with springy carbon fiber appendages much like those used by human amputees when racing at the Paralympics. By adjusting a slider on its legs, EduBot can vary the stiffness of each, and it then walks to discover the optimal gait for the newly configured spring in its step. Stiffer legs allow for better speeds on regular surfaces, while looser legs help on uneven or rough patches. Check out the success and failures of EduBot's tunable limbs in the video below. Learning to walk is still one of the most difficult physical tasks in robotics, but EduBot's efforts are a strong sign that we're slowly progressing towards solving the problem. Or at least learning new ways to approach it.
Read the whole article and watch the video
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