Researchers have crafted an AI system that can tune a robotic knee (not pictured) to allow walking on level ground within 10 minutes. It uses a trial-and-error algorithm to recognize patterns in sensor data, set initial safety limits, and learn patterns that match stable, smooth walking motions.
The achievement is no mean feat due to the inherent limitations of training a system where humans are physically attached. Where AI can usually take as much time as it likes to master a new field, amputees may only have 15 to 20 minutes before they have to stop. You also can’t put wearers in danger. A fall might provide useful data, but it wouldn’t be pleasant.
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