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-机器人的最新研究结果已经公布。根据新闻报道在中华人民共和国西安，NewsRx记者的研究表明，“机器人技能学习是一个非常重要的问题。”是基于机器人的智能制造领域的一个国际先进方向，它的发展方向使机器人能够在复杂的现实环境中自主学习和操作。在这里本文提出了一种基于多任务的机器人技能学习框架MTRSL,以提高机器人的学习效率复杂现实环境下多任务机器人技能学习的效率和快速性MT-RS L中包含的三个关键子模块的详细设计步骤,即子任务分割模块、机器人技能学习模块和机器人配置优化模块。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingfrom Xi’an, People’s Republic of Ch ina, by NewsRx journalists, research stated, “Robot skill learning isone of the international advanced directions in the field of robot-based intelligent manuf acturing, whichmakes it possible for robots to learn and operate autonomously i n complex real-world environments. In thispaper, we propose a multitasking-orie nted robot skill learning framework named MTRSL to improve theefficiency and ro bustness of multi-task robot skill learning in complex real-world environments, and presentthe detailed design steps of three key sub-modules included in MT-RS L, namely, sub-task segmentationmodule, robot skill learning module, and robot configuration optimization module.”
NETL
NSTL