The robotic legs are designed to mimic human neural architecture, musculoskeletal architecture, and sensory feedback pathways, in order to make the robot move exactly the way humans do. The robot uses an artificial form of a central pattern generator (CPG). In humanoids, a CPG is a neural network in the spine that helps the individual walk in rhythm. Thanks to an array of sensors, this robot can walk with the same effortlessness that fully ambulatory people possess. For instance, load sensors detect pressure when the robot’s foot touches a surface.
Though the robot currently can replicate only a walking gait, it is already helping scientists understand how humans learn to walk. According to researchers from the University of Arizona, studying the robot’s movements enabled them to conclude that even before babies learn to walk, their bodies already possess a simple CPG, which eventually matures to permit more-complex movements.
Ultimately, these robotic legs will help scientists better understand spinal cord injuries and, perhaps most significantly, identify how to help paralyzed individuals walk again on their own. For that reason alone, this development could be pretty incredible.
[IOP Science via EurekAlert]
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