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基于人工智能的机器人配送系统 被引量:1

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摘要 近几年来,外卖行业发展迅速,但行业内乱象横生。其中比较典型的就是很多外卖骑手为了节约配送时间在人流量大的校园里飞驰而引发的校园问题屡见不鲜,导致大部分校园等地都不允许外卖车辆进入,这样极大地降低了外卖配送效率。通过对无人驾驶技术,云产品流转,4G DTU透传模块的研究,面向学校、小区、医院等需要封闭式管理的场所,提出一种基于人工智能的机器人配送系统,解决外卖配送的“最后一公里”问题。 In recent years,the food delivery industry has developed rapidly,but chaos within the industry is rampant.One of the more typical examples is that many takeaway riders fly on campuses with a lot of people in order to save delivery time,and campus problems are not uncommon.As a result,most campuses and other places do not allow takeaway vehicles to enter,which greatly reduces the efficiency of takeaway delivery.Through the research of unmanned driving technology,cloud product circulation,4G DTU transparent transmission module,for schools,communities,hospitals and other places that require closed management,a robot distribution system based on artificial intelligence is proposed to solve the"final of food delivery One kilometer"problem.
出处 《科技创新与应用》 2021年第24期54-56,共3页 Technology Innovation and Application
基金 黑龙江省大学生创新创业项目(编号:202010214038)。
关键词 人工智能 路径规划 阿里云 4G DTU 外卖配送 artificial intelligence path planning Alibaba Cloud 4G DTU takeaway delivery
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