Robotic Vacuum Cleaner Research Articles

Fabrication of solar robotic vacuum cleaner

Since the non-renewable resources now used in the globe may run out soon, renewable energy is crucial for the world we live in today. The majority of the energy used by all life forms on Earth comes from the sun. Aside from nuclear energy, it serves as the primary source of energy. But compared to other energy sources, solar energy is not as developed. The solar-powered vacuum is a step toward preserving these non-renewable energy sources. More than ever before, we can see and feel the effects of climate change. As a result of climate change, there are an increasing number of natural disasters, including sea level rise, weather changes, and temperature increases. Natural disasters are becoming increasingly frequent, as evidenced by melting ice caps, rising sea levels, altered weather patterns, and temperature increases. Both in our daily lives and in maintaining the environment, technology can be helpful. One idea that can help elevate people's standard of living is this Smart Solar dust collector. The use of a solar vacuum cleaner can help us lessen pollution. By catching the sun's rays, you may collect dust more effectively, benefiting the environment. Additionally, this idea seeks to minimise the need for human labour during floor cleaning.

High-Performance and Lightweight AI Model for Robot Vacuum Cleaners with Low Bitwidth Strong Non-Uniform Quantization

Artificial intelligence (AI) plays a critical role in the operation of robot vacuum cleaners, enabling them to intelligently navigate to clean and avoid indoor obstacles. Due to limited computational resources, manufacturers must balance performance and cost. This necessitates the development of lightweight AI models that can achieve high performance. Traditional uniform weight quantization assigns the same number of levels to all weights, regardless of their distribution or importance. Consequently, this lack of adaptability may lead to sub-optimal quantization results, as the quantization levels do not align with the statistical properties of the weights. To address this challenge, in this work, we propose a new technique called low bitwidth strong non-uniform quantization, which largely reduces the memory footprint of AI models while maintaining high accuracy. Our proposed non-uniform quantization method, as opposed to traditional uniform quantization, aims to align with the actual weight distribution of well-trained neural network models. The proposed quantization scheme builds upon the observation of weight distribution characteristics in AI models and aims to leverage this knowledge to enhance the efficiency of neural network implementations. Additionally, we adjust the input image size to reduce the computational and memory demands of AI models. The goal is to identify an appropriate image size and its corresponding AI models that can be used in resource-constrained robot vacuum cleaners while still achieving acceptable accuracy on the object classification task. Experimental results indicate that when compared to the state-of-the-art AI models in the literature, the proposed AI model achieves a 2-fold decrease in memory usage from 15.51 MB down to 7.68 MB while maintaining the same accuracy of around 93%. In addition, the proposed non-uniform quantization model reduces memory usage by 20 times (from 15.51 MB down to 0.78 MB) with a slight accuracy drop of 3.11% (the classification accuracy is still above 90%). Thus, our proposed high-performance and lightweight AI model strikes an excellent balance between model complexity, classification accuracy, and computational resources for robot vacuum cleaners.

EXPERIMENTAL VALIDATION OF A METHOD FOR SYSTEMATIC NEW DEVELOPMENT

AbstractCreativity is an essential factor in the development of innovative products. 4 Step Creation (4SC) is a method for systematic ideation and can be used to enhance the new product development process. It aims to promote creativity in interdisciplinary teams and provides a framework for collaboration so that original ideas can emerge, laying the foundation for innovation. At the same time, the method can be used for continuous improvement of existing systems. In this contribution 4SC is used in a design method experiment following the Design Method Validation System (DMVS) to validate design methods in product development. The experiment was carried out at PAD2022 International Summer School on the example of a vacuum cleaner robot. Findings show, that the developed method promotes transparency, traceability of ideas and thus communication in the team. It also facilitates the integration of different stakeholders in the ideation phase. The experiment also shows that the DMVS is well suited for planning, conducting, and evaluating design experiments.

Design and Development of a Solar-Powered Vacuum and Wet Cleaning Robot using Arduino UNO

n today’s day and time, it is difficult to find the time to clean our homes by ourselves. It is even more difficult to do so with conventional cleaning methods. This is where vacuum cleaners come to our aid to provide an efficient way to keep our surroundings clean, with the help of motors and filters that can pull up any kind of dirt and dust. In this paper, we present the design and implementation of a dual-function cleaning robot, which functions both as a vacuum cleaner and a wet floor cleaner. The robot is powered by a solar panel and is equipped with an Arduino UNO, a motor driver shield, and DC motors. An ultrasonic sensor was also integrated for obstacle detection. The vacuum function employs suction to remove dust and debris from floors, while the wet floor cleaning function uses wipers and a small pump to dispense water and clean the surface. This paper outlines the components, design considerations, and testing results for this innovative and eco-friendly cleaning solution.

Cleanzo: Vacuum Cleaner with Obstacle Detection using Bluetooth

Abstract: People are becoming more career-oriented in recent years, and because of their erratic work schedules, it is harder for people, especially women, to maintain both home and office simultaneously. The Smart Vacuum Cleaner, which uses more advanced technology and is intended to automate the cleaning process, has been presented as a solution to the issue. It uses sensors to identify obstacles and avoid them, and it also has Bluetooth-based communication. The floor cleaning applications for the cleaning robots are effective in assisting humans in homes, hotels, restaurants, workplaces, hospitals, workshops, warehouses, and universities, among other places, therefore they have gained increasing attention in robotics research. This inexpensive, smart vacuum cleaner is constructed with obstacle avoidance in mind. The robot can periodically clean the floor without human assistance in household and commercial settings. Robotic vacuum cleaners have become more and more common in recent years thanks to their convenience and time-saving features. The effective use of these gadgets in crowded situations still presents a difficulty. The unique method described in this abstract uses Bluetooth technology to improve a vacuum cleaner's ability to detect obstacles. Our suggested approach makes use of Bluetooth's built-in capability to quickly identify and avoid impediments. The vacuum cleaner can detect the existence of impediments nearby thanks to Bluetooth sensors that are strategically positioned all over its body. To ensure seamless integration with existing smart home ecosystems, the vacuum cleaner's Bluetooth module is designed to be compatible with popular home automation platforms. This compatibility allows users to control and monitor the vacuum cleaner remotely through their smartphones or voice assistants, providing a convenient and intuitive user experience.

Solar Floor Cleaner Robot

Abstract: Households of today are becoming smarter and more automated. Home automation delivers convenience and creates more time for people. Domestic robots are entering the homes and people’s daily lives, but it is yet a relatively new andimmature market. However, a growth is predicted and the adoption of domestic robots is evolving. The purpose of this project is to design and implement a Vacuum Robot Autonomous. Vacuum Cleaner Robot is designed to make cleaning process become easier rather than by using manual vacuum. The main objective of this project is to design and implement a vacuum robot prototype. Vacuum Robot will have several criteria that are user friendly

Floor Cleaners as Helper Pets: Projecting Assistive Robots’ Agency on Zoomorphic Affordances

Care of ageing adults has become a dominant field of application for assistive robot technologies, promising support for ageing adults residing in care homes and staff, in dealing with practical routine tasks and providing social and emotional relieve. A time consuming and human intensive necessity is the maintenance of high hygiene quality in care homes. Robotic vacuum cleaners have been proven effective for doing the job elsewhere, but—in the context of care homes—are counterproductive for residents’ well-being and do not get accepted. This is because people with dementia manifest their agency in more implicit and emotional ways, while making sense of the world around them. Starting from these premises, we explored how a zoomorphic designed vacuum cleaner could better accommodate the sensemaking of people with dementia. Our design reconceptualises robotic vacuum cleaners as a cat-like robot, referring to a playful behaviour and appearance to communicate a non-threatening and familiar role model. Data from an observational study shows that residents responded positively to our prototype, as most of them engaged playfully with it as if it was a pet or a cat-like toy, for example luring it with gestures. Some residents simply ignored the robot, indicating that it was not perceived as frightening or annoying. The level of activity influenced reactions; residents ignored our prototype if busy with other occupations, which proves that it did not cause significant disturbance. We further report results from focus group sessions with formal and informal caregivers who discussed a video prototype of our robot. Caregivers encouraged us to enhance the animal like characteristics (in behaviour and materiality) even further to result in richer interactions and provoke haptic pleasure but also pointed out that residents should not mistake the robot for a real cat.

Smart Vacuum Clear Robot

Manual work is taken over the robot technology and many of the related robot appliances are being used extensively also. Here represents the technology that proposed the working of robot for Floor cleaning. Households of today are becoming smarter and more automated. Home automation delivers convenience and creates more time for people. Domestic robots are entering the homes and people’s daily lives, but it is yet a relatively new and immature market. However, a growth is predicted and the adoption of domestic robots is evolving. Several robotic vacuum cleaners are available on the market but only few ones implement wet cleaning of floors. The purpose of this project is to design and implement a Vacuum Robot for Autonomous dry and wet cleaning application using mop. Vacuum Cleaner Robot is designed to make cleaning process become easier rather than by using manual vacuum. The main objective of this project is to design and implement a vacuum robot prototype by using Arduino mini, Motor, Ultrasonic Sensor, and IR Sensor and to achieve the goal of this project. The whole circuitry is connected with 7.4V battery. Vacuum Robot will have several criteria that are user-friendly.

Arduino Based Smart Vacuum Cleaner Robot

Abstract: In the current hectic schedule, cleaning houses and surrounding environment is more arduous. At present, there are vacuum cleaners which require humans to handle it. Thus, there is a dire need to implement vacuum cleaner which works without human intervention. An efficient method to clean the desired area has been implemented through this project. By using this vacuum cleaner, hazardous places can be cleaned which thereby reduce risks to mankind. This is achieved by implementing an autonomous system. The main objective of this project is to design and implement a vacuum robot prototype by using Aurdino uno, Motor shield, Ultrasonic sensor and motor with wheels to achieve the goal of this project. The ultrasonic sensor is used to measure the distance between robot and obstacle. The whole circuit is connected with 12v battery. Vacuum robot will have several criterial that are user-friendly.

Kate Schroder: Gender equality in STEM.

Kate Schroder is a professor and director of the Centre for Inflammation and Disease Research at the Institute for Molecular Bioscience (IMB), University of Queensland, Australia. Her lab, the IMB Inflammasome Laboratory, is interested in the mechanisms that underlie inflammasome activity and inhibition, regulators of inflammasome-dependent inflammation, and caspase activation. We recently got the opportunity to speak with Kate about gender equality in science, technology, engineering, and mathematics (STEM). We covered steps her institute is taking to improve gender equality in the workplace, advice for female early career researchers (ECRs), and how something as simple as a robot vacuum cleaner can make a huge difference to a person's life.

An Approach to Summarizing Product Reviews

Product reviews are an important feature of e-commerce because they influence the communicative behavior of a potential addressee (customers). Users often read online product reviews to get either general or specific information about a product or service. Besides, companies analyze customer reviews to improve their product quality or to adjust their marketing strategy. However, many reviews are unstructured and long. With the number of product reviews growing rapidly, reading a large number of reviews becomes a time-consuming process for both users and companies. Therefore, review summarization becomes a serious issue. In this paper, we propose a new approach to summarizing reviews of electronics and household appliances. The proposed approach makes it possible to structure information for every aspect category; it provides calculation sentiment score for each aspect category, and shows the most relevant sentences for each aspect. We used product reviews from Yandex.Market as target data. Our task was performed in five main phases: 1) expert identification of thematic aspect categories; 2) classifying sentences into the predefined aspect categories; 3) sentence classification into two classes—positive and negative—with calculating the number of both type sentences within each aspect category; 4) sentence ranking; 5) visualization of the results obtained in the previous phases. The quality of the algorithm for creating a resume from a large collection of reviews has been tested on five models of products from the following categories: coffee machines, robot vacuum cleaners, e-books, TV-sets, and washing machines.

Constructing autonomous, personalized, and private working management of smart home products based on deep reinforcement learning

Smart home products have been increasingly popular in markets and design research. Although modern smart home products are interactive and aware, they are not competently autonomous, personalized, and private to satisfy users’ experience in convenience and trustworthiness. As a branch of machine learning, deep reinforcement learning is characterized by its learning through interaction with environments without data exchanges and thus has the potential to resolve this problem. This paper proposes a method based on deep reinforcement learning to construct autonomous, personalized, and private working management of smart home products. This method generally splits into users’ manual management, training in deep reinforcement learning, and autonomous working management. Besides, this paper illustrates this method with a case study of robot vacuum cleaners. Overall, the contribution of this paper lies in the innovative application of deep reinforcement learning, which dynamically interacts with users’ contexts and working conditions, to realize autonomy, personalization, and data privacy of smart home products.

HOMECTRL: An Example of Practice-Based Artistic Research as a Methodology in Surveillance Studies

This essay provides an example of how practice-based artistic research can contribute to surveillance studies. It does so by reflecting on the development of the installation HOMECTRL for The Danish Museum of Science & Technology. The installation offers speculative fabulations regarding how the Internet of Things (IoT) is rearticulating and transforming the home as a site of control, on a spectrum ranging from the mundane everyday use of robot vacuum cleaners to domestic abuse facilitated by IoT technologies. By sharing excerpts from narrative monologues that probe the question of where control is located, and still images that experiment with representing how technologies perceive their surroundings, the essay demonstrates that practice-based methods can open up understandings of the home as a distributed spatial structure permeated by smart technologies that have new abilities to access, control, and manipulate domestic space.

Constructing Product Usage Context Knowledge Graph Using User-Generated Content for User-Driven Customization

Abstract User-driven customization is a particular design paradigm where customers act as co-designers to configure products based on their needs. However, due to insufficient product usage experience, customers may design a product incompatible with their environment and needs. Such incompatibility can negatively affect the performance of some customized features or even cause product failure. As a result, customers may hesitate to customize products because additional complexities and uncertainties are perceived. Product usage context (PUC), as all the environment and application factors that affect customer needs and product performance, can be used to facilitate customer co-design in user-driven customization. Identifying individual customer’s PUC can help customers foresee potential design failures, make more holistic design decisions, and be confident with their designs. Against the background, this paper proposes a PUC knowledge graph (PUCKG) construction method using user-generated content (UGC). The proposed method can convert crowdsourced corner cases into structured PUCKG to support personal PUC prediction, summarization, and reasoning. A case study of robot vacuum cleaners is conducted to validate the efficacy of the proposed method.

A Design And Build A Robot Vacuum Cleaner

In this paper design of the robot Vacum Cleaner, based on the Arduino Mega 2560 is the can walk and vacuum the floor. In this study, a microcontroller is used to regulate the work of the robot based on data obtained by six sensors, and the robot’s movement is driven by motor driver to the left and right, forward and backward, where the input is given through the keypad in the form of dust and garbage thisness, provided that if the dust thickness is (30mg)/(mm)3 then the LCD will display binary logic “1”, and if the Dust thickness is ≥0,30 mg/mm3then the data will be displayed on the LCD is binary logic “0”. In designing this robot, four ultrasonic sensors are needed as proximity sensors, also needed a sensor to detect the thickness of the dust, as well as an infrared sensor as a sensor to detect thick garbage. In testing the vacuum cleaner robot, the four ultrasonic sensors, S1, S2, S3, S4 are designed as the cardinal directions, north south, east west, as input data on the microcontroller, and two motor drivers as microcontroller outputs that can move forward and backward, forward turn left, forward turn right, backward turn left, backward turn right as an output to move the robot vacuum cleaner. When the vacuum cleaner robot moves, the dust sensor will detect dust, if the dust thickness is 0,30 mgmm3, the LCD is logic “1”, the sensor will. Work and the vacuum cleaner will sweep the flour while sucking, if the dust thickness ≥30mgmm3, infra red sensor will work with a logic LCD display logic “0”, then the motor driver will stop. The vacuum cleaner does not suck up dust or thick garbage.

Review for Autonomous Robotic Vacuum Cleaners

Review for Autonomous Robotic Vacuum Cleaners

A Survey on Robotic Vacuum Cleaners: Evaluation of Expressive Robotic Motions based on the Framework of Laban Effort Features for Robot Personality Design

The adoption of robotic vacuum cleaners (RVCs) has drastically increased. During interaction with these embodied autonomous agents, humans tend to ascribe certain personality traits to them even when the robot has a mechanoid appearance and low degree of freedom. As the social capabilities and the persuasiveness of robots increase, the design of robot personality will become important. This paper investigates the impact of expressive motions on people’s perception of robot personality. The framework of Laban Effort Features was implemented for a simple cleaning task. Movement features were programmed in iRobot Create2, and participants were asked to rate the robot’s personality in an online survey. The results indicated that Flow factor was closely associated with neuroticism ratings, Weight factor impacted both agreeableness and conscientiousness ratings, while Time factor impacted only the agreeableness ratings. Movement characteristics should be considered when designing personality into domestic service robots like RVCs, which are expected to operate in highly social settings.

A Review Paper on Google Assistance Based Consumer Vacuum Suction Dusting Robot

Abstract: In modern days as automation is taking place thereby reducing the time required for doing household chores that results in increasing time utilization for other stuffs. One of such automated device is Vacuum Cleaner. While vacuum cleaners have made life easier in household chores, they are noisy as well as bulky. Hence it is required to improve the technology of vacuum cleaning to overcome these deficiencies. Here, is an attempt to achieve the same objective to develop a compact and efficient vacuum cleaner robot for office and home use. The proposed robot is disk-shaped, controlled by NodeMCU and work on Google voice command. The proposed system comprises of Node MCU, motor driving IC L239D, DC motors and IR sensor. Node MCU will be controlling the entire operation with the help of control signals, motors along with the help of motor driving IC will be helping in motion of the robot in any direction and IR sensors will be helping in detection of barriers for the navigation of the robot. To provide the commands to the robot we will make use of Google Assistant which can engage in two way communication. The PCB designing will be done with the help of Diptrace PCB design software and the programming part will be done with the Arduino IDE programming software. As the robot is working on voice commands it won’t be involving human efforts and time thereby making it a fully autonomous robot.

CLEAN SWEEP: The Floor Cleaning Robot

Abstract: Modern households are getting increasingly automated and intelligent. Home automation makes life more convenient and gives individuals more free time. Domestic robots are becoming more prevalent in homes and in people's daily lives, yet the market is still young and in its infancy. But a rise is anticipated, and the use of household robots is changing. There are many robotic vacuum cleaners on the market, but very few of them wet-clean floors. This project's goal is to create and use a vacuum robot with two cleaning modes. Through a phone application, autonomous and manual modes are available. Instead of using a manual vacuum, a robot vacuum cleaner is designed to make cleaning easier. This project's goal is to build and put into action a vacuum robot with two cleaning modes: autonomous and manual, the latter of which may be accessed via a phone application.

Automated Domestic Vacuum Cleaner Robot

Abstract: Modern homes are moving to automation to provide convenience and reduce the time spent on household chores Vacuum cleaners make cleaning easier, but they are big, noisy, and bulky in everyday use.Therefore, vacuum cleaner technology needs to be improved to reduce these shortcomings. As of 2021, the Covid-19 pandemic continues, so keeping our living space clean and disinfecting is a top priority. People's workload is shifting from offline work in the office to online work at home, and the workload of many people has increased significantly, so some people may neglect to clean the environment. there is. In today's scenario, the whole family is busy with work and is supposed to clean the house. The cleaning robot helps you clean and disinfect the floor with the push of a switch. This also reduces the extra effort of housekeeping for cleaning purposes. Furthermore, we are enthusiastic about designing and developing an automatic cleaning robot "household automatic vacuum cleaner robot" that performs all cleaning and disinfection work with the push of a button.