National Natural Science Foundation of China(Nos.62225304,92148204 and 62061160371);National Key Research and Development Program of China(Nos.2021ZD0114503 and 2019YFB1703600);Beijing Top Discipline for Artificial Intelligence Science and Engineering,University of Science and Technology Beijing,and the Beijing Natural Science Foundation(No.JQ20026).
In this article,a robot skills learning framework is developed,which considers both motion modeling and execution.In order to enable the robot to learn skills from demonstrations,a learning method called dynamic movem...
Supported by National Natural Science Foundation of China(Grant No.52175029);Key Industrial Chain Projects of Shaanxi Province(Grant No.2018ZDCXL-GY-06-05).
Dynamic movement primitives(DMPs)as a robust and efcient framework has been studied widely for robot learning from demonstration.Classical DMPs framework mainly focuses on the movement learning in Cartesian or joint s...