摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器人的详细数据已经公布。根据来自陕西，中华人民共和国，B Y NewsRx记者，研究称，"在本文中，我们建议一种基于扩展动态运动primit的运动、强度和力学习框架(DMP)和二次规划(QP)优化。目的是学习运动学和动力学通过测量和估计单次人体演示的操作参数操作过程中手臂的运动、三维（3-D）端点刚度和作用力任务。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting fromShaanxi, People’s Republic of China, b y NewsRx journalists, research stated, “In this paper, we proposea motion, stif fness, and force learning framework based on an extended dynamic movement primit ive(DMP) and quadratic programming (QP) optimization. The objective is to learn kinematic and dynamicoperational parameters from a one-shot human demonstratio n, through measurement and estimation of themotion, 3-dimensional (3-D) endpoin t stiffness, and applied forces of the human arm during manipulationtasks.”
NETL
NSTL