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The objective of this study is to design and develop a low-cost Arduino autonomous robot cleaner using mapping algorithm to clean floor area of houses or offices. The idea is basically to detect any obstacles with the help of sensor and sent its output to microcontroller that will control the autonomous vacuum cleaner movement. A low-cost solution...
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... can be done by either check the serial monitor in Arduino IDE or check the list of devices connected to the same local network. Once the system is online, the robotic vacuum cleaner can be either turn on or off by using voice command via Google assistant as shown in Figure 1. Meanwhile figure 2 shows the block diagram of the study. ...
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... In Honduras, unlike other countries with higher technology and contingency plans to combat the pandemic is still traditionalist, therefore it generates greater spread of the virus [2]. The virus exposure can take place anywhere there is a conglomeration of people, given that is why people have tried to alternate human labor with new mechanical advances in robotics, especially where people can take risks at work [3]. As it has been mention the use of robots can also reduce community transmission and consumption of personal protective equipment [4]. ...
The implementation of robotics has provided various solutions to the problematic caused by Covid-19 to reduce the exposure of people when alternating work, therefore the present project was designed and manufactured a semi-autonomous fumigation robot which is made using a sprinkler and a pump, to give it autonomy was incorporated line tracking that works utilizing infrared and ultrasonic sensors. For the development of the project, the V-based methodology was used, in which the 3 branches of mechatronics are integrated. As a result, the robot can be applied in commercial and industrial areas for disinfection of floors and surfaces to reduce exposure to the virus. A nozzle with an angle of 60° was used having a range of 3.2 m wide and reaches a height of 1.6 m. as a final result, it was obtained that the robot is capable of disinfecting 3.2 m2/s.
... Sasaki et al. [18] studied a path-planning algorithm considering dust for cleaning robots that prioritize and sort areas with large amounts of dirt. Ong and Azir [19] aimed to design a low-cost and smart IoT based vacuum cleaner by using mapping algorithm for cleaning homes or offices. Ravankar et al. [20] proposed an algorithm for dirt detection with an outer camera and communicate with a robot in real-world circumstances. ...
Smart home technologies (SHM) or devices provide some degree of digitally connected, automated, or enhanced services to building occupants in residential areas and have been becoming increasingly popular in recent years. SHM have the potential to improve home comfort, convenience, security and energy management. Different technologies are used to equip household parts for smarter monitoring, movement and remote control and to allow effective harmonic interaction between them. Especially, energy management and path-planning algorithms are some of the important problems for such technologies to get optimum efficiency and benefit. Smart vacuum cleaning robot is one of the applications of such devices with various functions. These cleaning robots have limited battery power and battery sizes, thus effective cleaning is critical. Additionally, the shortest / optimal path planning is essential for the efficient operation of effective cleaning based on the battery time. In this article, two distinct algorithms, which are Search algorithm and CSP algorithm are utilized to obtain distinct optimal minimum path lengths for keeping the home's total dirt level as low as possible. Depending on various types of linguistic, abstract, or perceptual variables, these algorithms are not enough for the energy management of the battery. Therefore, the fuzzy logic-based inference system is proposed for obtaining the charge durability of battery of the cleaning robot, in addition to these algorithms. The inputs affecting the charge durability are considered as floor type, dirt level and the width of area for the fuzzy approach.
... Due to their usefulness in aiding people in floor cleaning activities at residences, resorts, workplaces, restaurants, industries, distribution centers, institutions, hospitals, and other locations, robotic cleaners have garnered a lot of interest in robotics research. These cleaning robots can function manually, semi-automatically, or entirely autonomously [1][2][3][4]. It is a smartphone-controlled robot that cleanses the floors of any home by spinning mops positioned at the robot's front. ...
... Due to their usefulness in aiding people in floor cleaning activities at residences, resorts, workplaces, restaurants, industries, distribution centers, institutions, hospitals, and other locations, robotic cleaners have garnered a lot of interest in robotics research. These cleaning robots can function manually, semi-automatically, or entirely autonomously (Asafa et al. 2018;Khan et al. 2013;Ong et al. 2020;Bordoloi et al. 2017). It is a smartphone-controlled robot that cleanses the floors of any home by spinning mops positioned at the robot's front. ...
The contemporary household landscape is witnessing a paradigm shift towards enhanced intelligence and automation. The integration of home automation systems not only provides increased convenience but also affords individuals more time for other pursuits. This project endeavors to conceptualize and actualize a Vacuum Robot that operates autonomously and manually through a designated mobile application. The Vacuum Cleaner Robot, utilizing components such as Arduino Mega, Arduino Shield, LDR Sensor, Real-Time Clock, Motor Shield L293D, Ultrasonic Sensor, and IR Sensor, aims to streamline the cleaning process, replacing manual vacuuming with an efficient automated solution. The primary objective of this initiative is to successfully design and implement a prototype Vacuum Robot that adheres to user-friendly criteria outlined in the aforementioned context.
GPS signal loss is a major issue when the navigation system of rovers is based solely on GPS for outdoor navigation rendering the rover stuck in the mid of the road in case of signal loss. In this study, a low-cost IMU aided GPS-based navigation system for Ackermann Steered mobile robots is presented and tested to cater to the issue of GPS signal loss along. GPS path is selected and fed using the android application which provides real-time location tracking of the rover on the map embedded into the application. System utilizes Arduino along with the node MCU, compass, IMU, Rotary encoders, and an Ackermann steered rover. Contorller processes the path file, compares its current position with the path coordinates and navigates using inertial sensor aided navigation algorithm, avoiding obstacles to reach its destination. IMU measures the distance traveled from each path point, and in case of signal loss, it makes the rover move for the remaining distance in the direction of destination point. Rover faced a sinusoidal motion due to the steering, so PID was implemented. The system was successfully tested in the IST premises and finds its application in the delivery trolley, institutional delivery carts, and related applications.
GPS signal loss is a major issue when the navigation system of rovers is based solely on GPS for outdoor navigation rendering the rover stuck in the mid of the road in case of signal loss. In this study, a low-cost IMU aided GPS-based navigation system for Ackermann Steered mobile robots is presented and tested to cater to the issue of GPS signal loss along. GPS path is selected and fed using the android application which provides real-time location tracking of the rover on the map embedded into the application. System utilizes Arduino along with the node MCU, compass, IMU, Rotary encoders, and an Ackermann steered rover. Contorller processes the path file, compares its current position with the path coordinates and navigates using inertial sensor aided navigation algorithm, avoiding obstacles to reach its destination. IMU measures the distance traveled from each path point, and in case of signal loss, it makes the rover move for the remaining distance in the direction of destination point. Rover faced a sinusoidal motion due to the steering, so PID was implemented. The system was successfully tested on the IST premises and finds its application in the delivery trolley, institutional delivery carts, and related applications.
