先进制造业知识服务平台
国家科技图书文献中心机械分馆　　工信部产业技术基础公共服务平台　　国家中小企业公共服务示范平台

Development of an Autonomous Blower Robot for Cleaning up and Collecting Fallen Leaves
参考中译:用于清理和收集落叶的自主鼓风机机器人的开发


     

文集名：19th International Conference on Automation Science and Engineering (CASE 2023)
作者：Nakagawa Natsu（Graduate school of Intelligent and Mechanical Iteraction Systems, University of Tsukuba）
Date Hisashi（Division of Intelligent Interaction Technologies, University of Tsukuba）
会议名：19th International Conference on Automation Science and Engineering (CASE 2023)
会议日期：26-30 August 2023
会议地点：Auckland, New Zealand
出版年：2023
页码：2077-2082
总页数：6
馆藏号：351058
分类号：TP2-53/I59/(19th-v.3)
语种：eng
文摘：The use of household cleaning robots has become increasingly popular, but automation of cleaning up fallen leaves using a blower has not been studied. In this study, we develop an autonomous mobile robot that performs cleaning up leaves with a blower mounted on the robot. We adopt a three-wheel active caster as a moving mechanism: Both the drive and steering axes of each wheel are driven by motors, enabling omnidirectional motion. The blower is fixed to the robot with a slight downward tilt. We evaluated the quantity of leaves cleaned up from a large area varying the speed of movement. We found that the faster the robot moved, the fewer leaves were cleaned up, but at least 98% at the highest speed. We also evaluated the robot's ability to collect leaves using a wall as a guide. As a result, about half of the leaves were missed because the blower was not targeted at the landing place of the flown-up leaves. It turned out that we need to study the three-dimensional behavior of the jet stream for future work.
参考中译：家用清洁机器人的使用已经变得越来越流行，但使用吹风机清理落叶的自动化还没有被研究过。在这项研究中，我们开发了一个自主移动机器人，在机器人上安装一个鼓风机来执行清理树叶的任务。我们采用三轮主动脚轮作为移动机构：每个车轮的驱动轴和转向轴都由电机驱动，实现全方位运动。鼓风机略微向下倾斜固定在机器人上。我们评估了从不同移动速度的大片区域清理的树叶的数量。我们发现，机器人移动得越快，清理的树叶就越少，但在最高速度下，至少有98%。我们还评估了机器人S以墙为导向收集树叶的能力。结果，大约一半的树叶被遗漏了，因为鼓风机没有对准被吹起的树叶的着陆点。原来，我们需要研究喷流的三维行为，为未来的工作。

注：参考中译为机器自动翻译，仅供参考。



国家科技图书文献中心  全球文献资源网  京ICP备05055788号-26  京公网安备11010202008970号  机械工业信息研究院 2018-2024