首页|Research Findings from Ehime University Update Understanding of Robotics (A Deep Learning Approach for Biped Robot Locomotion Interface Using a Single Inertial Sensor)
Research Findings from Ehime University Update Understanding of Robotics (A Deep Learning Approach for Biped Robot Locomotion Interface Using a Single Inertial Sensor)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented in a new report. According to news originatingfrom Ehime, Japan, by NewsRx editors, the research stated, “In this study, we introduce a novel frameworkthat combines human motion parameterization from a single inertial sensor, motion synthesis from theseparameters, and biped robot motion control using the synthesized motion. This framework applies advanceddeep learning methods to data obtained from an IMU attached to a human subject’s pelvis.”
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