Georgia Tech Mechanical Engineering professors Greg Sawicki and Aaron Young have developed a wearable robotic leg prosthesis that is a two-joint device with a powered knee and ankle joints. It combines a “human-machine interface and control systems” with the “neuromechanics and energetics of human locomotion” – and how movement can be enhanced with wearable technology.
Many robotic leg prostheses are designed for performing only one task- walking on level surfaces. This robotic leg prosthesis has pivotal points just like a human leg. It’s designed to be able to adapt to climbing stairs, walking on a ramp, or navigating on flat ground.
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Movements are recorded by motion-capturing imaging sensors and implemented into the robot’s memory. The device transitions between different tasks that are “natural, automatic, and intuitive to the user.” The professors’ goal is to develop an intent recognition system that merges machine learning and artificial intelligence techniques to interpret sensor information and anticipate what the user is going to do next.