In the basement of MIT’s Building 3, a robot is carefully contemplating its next move. It gently pokes at a tower of blocks, looking for the best block to extract without toppling the tower, in a solitary, slow-moving, yet surprisingly agile game of Jenga. The robot, developed by MIT engineers, is equipped with a soft-pronged…
Machine learning personalizes how soft exosuits work
Researchers from the Wyss Institute for Biologically Inspired Engineering and the Harvard John A. Paulson School of Engineering and Applied and Sciences (SEAS) are using machine learning to personalize the controls of soft exosuits. The machine learning algorithm rapidly identifies the best control parameters for the soft exosuit to minimize the amount energy the human…