{"title":"具有楼梯清扫功能的真空吸尘器机器人及单步行走路径规划","authors":"Gregorius Gery Gavindra, Hendra Kusuma, Tasripan","doi":"10.1109/ISITIA52817.2021.9502216","DOIUrl":null,"url":null,"abstract":"Home automation technology is rising and growing in demand, one of the devices being actively developed and highly sought is a vacuum cleaner robot. Products available today has many features, but none has the ability to clean on different leveled surface area or multistory house. This research develops a vacuum cleaner robot that is capable of cleaning open-space area using boustrophedon path planning and has the ability to completely clean staircase area. Arduino Mega 2560 is used as the main processor, with timing belt system to move a platform as the climbing mechanism. The robot uses mecanum wheels, enabling the robot to move in all directions within a tight space. Step up test will be conducted in 2 phases, first the robot will climb a box with varying height from 5-25cm with 5cm increments, repeated 10 times for each different height. The second phase tests the robot on a staircase for 20 repetitions, to examine its ability in completely covering a staircase. The result is the robot successfully climbs to the height of 20cm with 100% success rate and fails at 25cm, it also achieves 80% success rate on staircase complete area coverage test. The boustrophedon path-planning test is conducted using an unobstructed, walled, 120x120cm open-space arena, marked with 30x30cm grid. The robot is tested by placing it at 4 different initial position, repeated 10 times for each to test its ability to find the nearest corner, and then, using the same arena, make the robot cover it completely using boustrophedon path planning. This results in 100% success rate in finding the nearest corner and 85% success rate for complete area coverage. Vacuum cleaning ability is then tested by having the robot clean traces of flour and salt, representing very fine and small particles of dirt, but due to a bad design for the dust collection tunnel, the vacuum suction power is very weak and this results in failure to completely clean both substances.","PeriodicalId":161240,"journal":{"name":"2021 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Vacuum Cleaner Robot with Staircase Cleaning Feature and Boustrophedon Path Planning\",\"authors\":\"Gregorius Gery Gavindra, Hendra Kusuma, Tasripan\",\"doi\":\"10.1109/ISITIA52817.2021.9502216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Home automation technology is rising and growing in demand, one of the devices being actively developed and highly sought is a vacuum cleaner robot. Products available today has many features, but none has the ability to clean on different leveled surface area or multistory house. This research develops a vacuum cleaner robot that is capable of cleaning open-space area using boustrophedon path planning and has the ability to completely clean staircase area. Arduino Mega 2560 is used as the main processor, with timing belt system to move a platform as the climbing mechanism. The robot uses mecanum wheels, enabling the robot to move in all directions within a tight space. Step up test will be conducted in 2 phases, first the robot will climb a box with varying height from 5-25cm with 5cm increments, repeated 10 times for each different height. The second phase tests the robot on a staircase for 20 repetitions, to examine its ability in completely covering a staircase. The result is the robot successfully climbs to the height of 20cm with 100% success rate and fails at 25cm, it also achieves 80% success rate on staircase complete area coverage test. The boustrophedon path-planning test is conducted using an unobstructed, walled, 120x120cm open-space arena, marked with 30x30cm grid. The robot is tested by placing it at 4 different initial position, repeated 10 times for each to test its ability to find the nearest corner, and then, using the same arena, make the robot cover it completely using boustrophedon path planning. This results in 100% success rate in finding the nearest corner and 85% success rate for complete area coverage. 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引用次数: 2
摘要
家庭自动化技术正在兴起,需求日益增长,其中一种正在积极开发和备受追捧的设备是真空吸尘器机器人。目前可用的产品有许多功能,但没有一个能够清洁不同水平的表面区域或多层房屋。本研究开发了一种真空吸尘器机器人,该机器人能够使用横突式路径规划对开放空间区域进行清洁,并具有完全清洁楼梯区域的能力。采用Arduino Mega 2560为主处理器,采用同步带系统移动平台作为爬坡机构。机器人采用机械轮,使机器人能够在狭小的空间内向各个方向移动。爬升测试将分两个阶段进行,首先机器人将爬上一个高度从5-25cm不等的盒子,以5cm为增量,每个高度重复10次。第二阶段测试机器人在楼梯上重复20次,以检验它完全覆盖楼梯的能力。结果是机器人成功爬到20cm的高度,成功率100%,爬到25cm的高度失败,在楼梯全区域覆盖测试中成功率达到80%。在一个无障碍物的、有围墙的、120x120cm的开放空间竞技场上,用30x30cm的网格进行了突背羚的路径规划测试。将机器人放置在4个不同的初始位置进行测试,每个位置重复10次,以测试其找到最近角落的能力,然后,使用相同的竞技场,使机器人完全覆盖它使用突象路径规划。这使得找到最近角落的成功率为100%,整个区域覆盖的成功率为85%。然后通过让机器人清洁面粉和盐的痕迹来测试真空清洁能力,代表非常细小的污垢颗粒,但由于集尘隧道设计不良,真空吸力非常弱,这导致无法完全清洁这两种物质。
Vacuum Cleaner Robot with Staircase Cleaning Feature and Boustrophedon Path Planning
Home automation technology is rising and growing in demand, one of the devices being actively developed and highly sought is a vacuum cleaner robot. Products available today has many features, but none has the ability to clean on different leveled surface area or multistory house. This research develops a vacuum cleaner robot that is capable of cleaning open-space area using boustrophedon path planning and has the ability to completely clean staircase area. Arduino Mega 2560 is used as the main processor, with timing belt system to move a platform as the climbing mechanism. The robot uses mecanum wheels, enabling the robot to move in all directions within a tight space. Step up test will be conducted in 2 phases, first the robot will climb a box with varying height from 5-25cm with 5cm increments, repeated 10 times for each different height. The second phase tests the robot on a staircase for 20 repetitions, to examine its ability in completely covering a staircase. The result is the robot successfully climbs to the height of 20cm with 100% success rate and fails at 25cm, it also achieves 80% success rate on staircase complete area coverage test. The boustrophedon path-planning test is conducted using an unobstructed, walled, 120x120cm open-space arena, marked with 30x30cm grid. The robot is tested by placing it at 4 different initial position, repeated 10 times for each to test its ability to find the nearest corner, and then, using the same arena, make the robot cover it completely using boustrophedon path planning. This results in 100% success rate in finding the nearest corner and 85% success rate for complete area coverage. Vacuum cleaning ability is then tested by having the robot clean traces of flour and salt, representing very fine and small particles of dirt, but due to a bad design for the dust collection tunnel, the vacuum suction power is very weak and this results in failure to completely clean both substances.