首页|Findings from Louisiana State University Broaden Understanding of Robotics (User -agnostic Adaptation of Human Locomotion Intent: Leveraging Teacher-student-lear ning and Ensemble Modeling)
Findings from Louisiana State University Broaden Understanding of Robotics (User -agnostic Adaptation of Human Locomotion Intent: Leveraging Teacher-student-lear ning and Ensemble Modeling)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting from BatonRouge, Louisiana, by NewsRx journalis ts, research stated, “Wearable robot control in complicated contextsrequires an understanding of human locomotion intent and behaviors. However, signals from h uman-robotinterfaces are typically reliant on the user, leading to poor perform ance of the model trained on traininguser when applied to new end-point users.”
Baton RougeLouisianaUnited StatesN orth and Central AmericaEmerging TechnologiesMachine LearningRobotRoboti csLouisiana State University
NETL
NSTL
