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-机器学习的最新研究结果已经发表。根据来自中国人民共和国深圳的新闻，由NewsRx记者报道，研究称，“缺乏一种快速有效的方法来同时感知一般水下机械”L刺激、物理接触和流体流动一直是许多绝热应用的瓶颈。至针对这一挑战，面向动力学的水下机械去感受器接口(DOUMI)，一种生物启发的水下机械去感受器机械感受系统，其利用单一受体实现同时的接触和流动感受，是介绍D。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Shenzhen, People’s R epublic of China, by NewsRx correspondents, research stated,“The lack of a suff icient and efficient way to simultaneously perceive general underwater mechanical stimuli, physical contact, and fluidic flow has been a bottleneck for many aqu atic applications. Toaddress this challenge, dynamics-oriented underwater mecha noreceptor interface (DOUMI), a bioinspiredmechanoreception system that realize s simultaneous contact and flow perception using a single receptor,is introduce d.”
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