摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于机器人的新报告。根据NewsRx记者从深圳发回的新闻报道,研究表明:“随着工业生产和制造任务的复杂性不断增加,工业机器人被期望能够从简单的动作中轻松快速地学习复杂的操作,并适应动态环境。”提出了一种任务参数化的多任务学习框架，以方便工业机器人操作技能的快速学习。本研究的资金支持单位包括国家自然科学基金(NSFC)、深圳市科技计划、广东省基础研究基金和应用基础研究基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating in Shenzhen, People's Republic o f China, by NewsRx journalists, research stated, "With the increasing complexity of industrial production and manufacturing tasks, industrial robots are expecte d to learn intricate operations from simple actions easily and quickly with adap tion to dynamic environment. In this paper, a task-parameterized multi -task lea rning framework is proposed to facilitate rapid learning of operational skills f or industrial robots." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Shenzhen Science and Technology Program, China, Guangdong Ba sic and Applied Basic Research Foundation, China.
NETL
NSTL