Journal articles on the topic 'Robot Vacuum Cleaner'

Technological developments are needed in the completion of a job both working automatically and manually with good results. In this need, a technology is used which has certain advantages in a matter. For example, a room cleaning device that is a vacuum cleaner that is often used by housewives to clean dirt and dust is used because it can ease the work, the vacuum cleaner that is currently in use by manual and automatic. This study proposes a controlling mobile vacuum cleaner by utilizing an accelerometer sensor found on a smartphone with Bluetooth communication media between robots and smartphones. An accelerometer is used to control the motion of a robot by taking changes in values from the slope angles X, Y and Z. With the vaccum cleaner robot, it is hoped that it can provide better work results in cleaning the room from dirt and dust, as well as providing convenience in controlling the vaccum cleaner robot for ordinary people. From the results of manual control trials on the robot, the accuracy of the control accuracy is 95%. The maximum range of Bluetooth signals reaches 30 meters without obstacles and there are obstacles. This vacuum cleaner robot can suck up dirt in the form of torn paper, sugar and coffee.

Robot merupakan salah satu bidang teknologi yang dapat meringankan pekerjaan manusia. Sebagian orang menggunakan sapu membersihkan rumah, namun penggunaan sapu membersihkan rumah akan menguras waktu dan tenaga manusia. Jika ruangan kecil, maka tidak terlalu menguras waktu dan tenaga. Namun apabila ruangan besar, maka akan menguras banyak waktu dan tenaga. Maka pada penelitian ini dibuatlah sebuah robot vacuum cleaner yang dapat otomatisasi sendiri dan dapat dikontrol oleh pengguna. Dalam melakukan penelitian ini, metode yang digunakan adalah studi literature dan observasi untuk pengumpulan data dan model waterfall untuk pengembangan perangkat lunak . Sistem dimodelkan dengan menggunakan Flowmap dan Use case diagram. Hasil dari penelitian ini adalah dibangunnya suatu perangkat keras dan perangkat lunak untuk meringankan pekerjaan manusia, yang dibuat dengan bahasa pemograman c/c++ untuk robot dan java untuk aplikasi android. Diharapkan dengan adanya robot dan aplikasi android yang dibangun ini akan mempermudah pembersihan ruangan atau meringankan pekerjaan manusia.

Mayoritas masyarakat pada umumnya membersihkan rumah menggunakan alat sapu dan vacuum cleaner secara manual dalam membersihkan debu atau sampah pada ruangan. Adapun robot vacuum cleaner yang dijual bebas, namun sebagian besar harga robot vacuum cleaner relatif mahal dan tidak menggunakan algoritma dalam navigasinya. Dari permasalahan tersebut peneliti ingin membuat sebuah mobil robot vacuum cleaner yang dapat dikontrol oleh manusia.. Penelitian ini merupakan rancangan mobil robot vacuum cleaner yang berguna untuk meringankan pekerjaan manusia dengan menggunakan Arduino Uno sebagai otak robot vacuum cleaner dan dapat dikontrololeh manusia dengan ponsel berbasis Android. Kebutuhan pada alat yang dikembangkan ini mencakup dari Arduino Uno sebagai otak pemroses gerak mobil, sensor ultrasonik untuk mendeteksi jalur mana yang bebas halangan, motor dc sebagai penggerak mobil robot, dan bluetooth sebagai penghubung aplikasi Android dengan mobil robot vacuum cleaner. Dari hasil penelitian yang telah dilakukan, alat mobil robot vacuum cleaner dapat membersihkan area ruangan dan pergerakan mobil robot secara otomatis bergerak menggunakan metode fuzzy untuk mendeteksi jalur yang bebas halangan. Mobil robot bisa diberhentikan dengan aplikasi Android apabila kegiatan pembesrihan rumah sudah selesai

Robots are electro mechanical equipment which currently greatly helps human work. On a household scale robots that are often used are dust cleaning robots, it's just that to get this robot people have to spend not a little money. By utilizing a microcontroller with the Arduino platform, dust cleaning robots can be made that have a more affordable price and have reliable features. By using Arduino, a robot can be made that can clean the dust automatically, which the robot will not hit the wall, besides the robot is also equipped with two brooms on the bottom. A broom intended to clean the dust on the floor and the dust will be sucked by a vacuum fan installed in the lower robot. In addition, the robot can also be used manually using an Android smartphone so that users can easily connect robots to areas that might not have been passed by a robot.

Dalam kehidupan sehari-hari sering kita jumpai kotoran ataupun debu yang tersebar di dalam maupun di luar rumah, ini disebabkan karena adanya partikel debu yang datang melalui udara dan menempel pada setiap permukaan rumah. Membersihkan lantai dari kotoran ataupun debu adalah suatu kegiatan yang harus dilakukan oleh masyarakat agar dapat menjaga kebersihan rumah sehingga rumah akan tampak bersih dan indah. Untuk membersihkan debu yang selalu menempel pada lantai biasanya masyarakat menggunakan alat sederhana berupa sapu ijuk ataupun kemoceng serta adapula yang menggunakan vacuum cleaner manual yang masih dikontrol oleh manusia Hal ini dinilai sangat konvensional karena dengan menggunakan alat tersebut pekerjaan akan memakan energi dan waktu yang lama dibandingkan dengan menggunakan robot vacuum cleaner yang bernavigasi secara otomatis. Berdasarkan permasalahan yang telah diuraikan peneliti akan merancang dan membangun sebuah robot vacuum cleaner yang dapat bernavigasi secara otomatis dan menerapkan logika propositional logic pada robot sehingga robot dapat kembali ke jalur setelah melewati rintangan agar tidak terdapat daerah yang tidak dilewati oleh robot vacuum cleaner tersebut. Dari penelitian ini berhasil membangun robot dengan menerapkan propositional logic yang berintegrasi dengan sistem kontrol PID, yang mana robot dapat mengitari seluruh ruangan dengan skala 160 cm2 dan dapat menghindari rintangan lalu kembali pada jalur yang belum dilalui oleh robot. Pada penelitian ini dilakukan 10 kali pengujian pada robot dalam bernavigasi sehingga didapat presentase keberhasilan robot dalam bernavigasi yaitu berhasil 90%.

The duct of a robot vacuum cleaner is the length of the flow channel between the inlet of the rolling brush blower and the outlet of the vacuum blower. To cope with the pressure drop problem of the duct flow field in a robot vacuum cleaner, a method based on Pressure Implicit with Splitting of Operators (PRISO) algorithm is introduced and the optimisation design of the duct flow field is implemented. Firstly, the duct structure in a robot vacuum cleaner is taken as a research object, with the computational fluid dynamics (CFD) theories adopted; a three-dimensional fluid model of the duct is established by means of the FLUENT solver of the CFD software. Secondly, with the k-∊ turbulence model of three-dimensional incompressible fluid considered and the PRISO pressure modification algorithm employed, the flow field numerical simulations inside the duct of the robot vacuum cleaner are carried out. Then, the velocity vector plots on the arbitrary plane of the duct flow field are obtained. Finally, an investigation of the dynamic characteristics of the duct flow field is done and defects of the original duct flow field are analysed, the optimisation of the original flow field has then been conducted. Experimental results show that the duct flow field after optimisation can effectively reduce pressure drop, the feasibility as well as the correctness of the theoretical modelling and optimisation approaches are validated.

Roomba, the autonomous robotic vacuum cleaner sold by iRobot since 2002, is now a taken-for-granted household helper in many homes. In this study that cross-cuts phenomenology, postphenomenology, actor–network theory and media ecology, I utilize four heuristics for interviewing digital objects. I interview Roomba and utilize qualitative research methods to theorize about the complexities of the entanglements and relationships between human beings and their robot vacuum cleaners. Conclusions connect to critical theory and feminism and also question justifications of anthropocentrism in a posthuman world.

A yard cleaning robot was made to be able to clean the yard by sucking leaves and trash particles that are 125 mm x 41 mm in size and weighing 50 grams. This robot can run straight on a flat surface. In this research, the page cleaning robot uses a microcontroller ATMega 328 (Arduino Uno) as a controller and a vacuum cleaner to suck the trash in the form of leaves. The program used in this robot uses the Arduino programming with the following working system: when the robot circuit is activated the dc motor will rotate moving the robot to run straight while using a compass sensor to detect angles and the navigator for movement of motor direction. When the robot is walking the garbage is swept and sucked by the vacuum cleaner. When there is a barrier at a distance of 50 cm in front of the robot, the robot will automatically rotate 180º using an ultrasonic sensor mounted in front of the robot that gives information to the controller.

Purpose – The purpose of this paper is to create new ideas for assistive technology products at home, especially products utilizing robotic consumer appliances available in the homes of elderly people. The work was founded on a reported increase in household robots as well as an ageing population in the industrialized world. Design/methodology/approach – Technology should be something that is perceived as belonging to our own world that fits our daily practices. Earlier studies show that in addition to cleaning functions, new household robots could change home routines and people's relationship to them. Taking the previous studies as a starting point, the paper proposes a vacuum cleaner robot as a platform for developing pervasive safety services and describe implementation of a conceptual prototype which brings the feeling of safety to an older person and their relatives by assisting in case of accidents. Moreover, the results are presented of an empirical evaluation of the prototype with end-users. Findings – It is proved that reasonably priced off-the-shelf components can be used to build the safety product demonstration model. The initial evaluation results, as well as referenced studies show that the acceptance rate of a household robot-based product is high, which is encouraging for further research in this domain. Also the paper could pinpoint areas that will require further work. Research limitations/implications – To add more practicality to the research and move towards product development, a strong industrial partner involved in household robotics would be needed. For increased reliability and robustness, more research is required in areas of advanced sensing technology and decision algorithms. Originality/value – A novel concept of a safety product for elderly care based on a vacuum cleaner robot is presented and an attempt is made to increase awareness that there will be a demand for such products.

<span>In this present era, people live a very busy life. People in cities have irregular and long working times. In such a situation a person will always find ways of saving time. Household chores are the ones that are most dreaded upon and cleaning a home tops the list. An autonomous floor cleaning robot is developed to help people to complete their cleaning task. This paper presents the development of an autonomous floor cleaning robot by using Arduino as a platform for processing and controlling the input and output. Autonomous vacuum cleaner robot is designed to make cleaning process become easier compared to using manual vacuum. The idea is basically by having the sensor to detect any object and send the input to Arduino that will control the robot movement. This robot can perform vacuum and wiping task with water spray function. It is also programmed to move in zigzag movement to ensure that the robot can clean all the corner of the house and avoid obstacle autonomously. This robot consists of three ultrasonic sensors, one infra-red (IR) sensor and two brushes in front of it to ensure effective cleaning. It is designed to run on flat surface. This autonomous multi-function floor cleaning robot has lower cost compared to existing vacuum robot on the shelves and is suitable for home and small premise usage.</span>

Robotics is a rapidly emerging field of engineering and many institutions of higher learning in engineering now offer majors in mechatronics. This article explores the use of an intelligent vacuum robot cleaner for mechatronics education, with a focus on the problem-based learning approach. The current structures in mechatronics education can in some cases prevent students fromunderstanding the mechatronics and also the methodology in designing it. This inevitably demotivates students from traversing pathways towards postgraduate research. As shown in the results from the confidence log and questionnaires, the problem-based learning approach improve the students’ results and interest in the mechatronics. It was also found that the activities were quite appreciated by the students.

The characteristics of traditional vacuum cleaner and automatic cleaning robot are analyzed in the paper. A new device for household cleaning is designed. The device combines leaning mechanism with suction mechanism. It could work only by pushing the cleaning machine. In its working process, the cleaning mechanism cleans larger litters first, and then the acceleration mechanism drives the impeller rotating at a high speed, and thus produces negative pressure to inhale the remaining dust. The device could improve cleaning efficiency. As the dust suction mechanism only needs to inhale dust, the force could be smaller .It will saves power and reduces the noise generated by the vacuum part at the same time.

Many natural la guage questions require recognizing and reasoning with qualitative relationships (e.g., in science, economics, and medicine), but are challenging to answer with corpus-based methods. Qualitative modeling provides tools that support such reasoning, but the semantic parsing task of mapping questions into those models has formidable challenges. We present QUAREL, a dataset of diverse story questions involving qualitative relationships that characterize these challenges, and techniques that begin to address them. The dataset has 2771 questions relating 19 different types of quantities. For example, “Jenny observes that the robot vacuum cleaner moves slower on the living room carpet than on the bedroom carpet. Which carpet has more friction?” We contribute (1) a simple and flexible conceptual framework for representing these kinds of questions; (2) the QUAREL dataset, including logical forms, exemplifying the parsing challenges; and (3) two novel models for this task, built as extensions of type-constrained semantic parsing. The first of these models (called QUASP+) significantly outperforms off-the-shelf tools on QUAREL. The second (QUASP+ZERO) demonstrates zero-shot capability, i.e., the ability to handle new qualitative relationships without requiring additional training data, something not possible with previous models. This work thus makes inroads into answering complex, qualitative questions that require reasoning, and scaling to new relationships at low cost. The dataset and models are available at http://data.allenai.org/quarel.

Subject. The article analyzes development trends in certain types of service robots, namely, hybrid UAVs, bionic prosthetic hands, robotic vacuum cleaners. Objectives. We focus on identifying the main trends in the development of certain types of service robots, building dynamic models of their technical indicators and models of dependence of their price and weight on absolute characteristics and technical parameters. Methods. The study employs methods of correlation and multiple regression analysis. The data of the IFR, the Remotely Piloted Aircraft System, and websites of robot manufacturers serve as the informational basis of the paper. Results. The modeling unveils positive correlation between the integrated indicator of the technical level of hybrid UAVs of convertiplane type and the wingspan. The analysis of modern bionic prosthetic hands shows that the developers focus on optimizing the structure of the prosthetic, however, as the functions of the hand improve, the weight of bionic hand increases. The main factors influencing the price of robot vacuum cleaners are their power, weight, and operating hours. Conclusions. The unit price of a complex indicator of the technical level of hybrid UAVs is lower than the corresponding indicator of fixed-wing UAVs, reflecting a greater efficiency of hybrid UAVs. The analysis of technical indicators of robotic prosthetics (using the case of bionic hands) shows that any improvement of functional characteristics leads to deterioration of weight. The analysis of technical and economic indicators of robotic vacuum cleaners reveals a positive correlation between the price and weight, operating hours and power.

Technology is getting better and better day by day, Robots is being introduced as an alternative of humans. In this era it is necessary that all parts of the society grow equally either it is space research , medical or automobile same thing applies on the domestic sector nowadays cleaning method is being shifted towards robotic cleaners. This paper presents the design and development of Fully Automated Hybrid Home Cleaning Robot. It can perform tasks like moping and vacuum cleaning without any help of humans.

Urgency of the research. There is a need for service robots for cleaning, cutting the grass, vacuum cleaners, waste collectors etc. Service robots also can help with dangerous application like mine removing or inspection of dangerous places. Target setting. Puck collecting robot is designed for collecting of wood pucks in arena and bringing to home position. Actual scientific researches and issues analysis. Other similar task is collecting of products on production line in factory. Next possible application is collecting of any fruits or vegetable on plantation. Uninvestigated parts of general matters defining. The questions of the design of waste collecting robots are uninvestigated, because the next research will be focused to this. The research objective. Puck collecting competition is based on collecting of pucks of selected colour and bringing to home position of the same colour. Two wheeled concept of the robot with differentially driven wheels has been selected for high manoeuvrability on small place. The statement of basic materials. Locomotion System structure consist of undercarriage with two geared DC motors with rubber wheels with diameter 110 mm controlled via using of locomotion microcontroller. Puck collecting system includes mechanical collector with puck color sensor, home base color sensor, puck sorter and puck handling microcontroller. Conclusions. Key role of the solved robotic project is obtaining of practical experiences from the robot design and building. Robot developing is as perfect example of practical exercises. The robot is also designed as didactic tool for students training. The task of this mobile robot is similar to application in industry.

Vision devices are currently one of the most widely used sensory elements in robots: commercial autonomous cars and vacuum cleaners, for example, have cameras. These vision devices can provide a great amount of information about robot surroundings. However, platforms for robotics education usually lack such devices, mainly because of the computing limitations of low cost processors. New educational platforms using Raspberry Pi are able to overcome this limitation while keeping costs low, but extracting information from the raw images is complex for children. This paper presents an open source vision system that simplifies the use of cameras in robotics education. It includes functions for the visual detection of complex objects and a visual memory that computes obstacle distances beyond the small field of view of regular cameras. The system was experimentally validated using the PiCam camera mounted on a pan unit on a Raspberry Pi-based robot. The performance and accuracy of the proposed vision system was studied and then used to solve two visual educational exercises: safe visual navigation with obstacle avoidance and person-following behavior.

This paper presents an open-access platform for practical learning of intelligent robotics in engineering degrees: Robotics-Academy. It comprises a collection of exercises including recent service robot applications in real life, with different robots such as autonomous cars, drones or vacuum cleaners. It uses Robot Operating System (ROS) middleware, the de facto standard in robot programming, the 3D Gazebo simulator and the Python programming language. For each exercise, a software template has been developed, performing all the auxiliary tasks such as the graphical interface, connection to the sensors and actuators, timing of the code, etc. This also hosts the student’s code. Using this template, the student just focuses on the robot intelligence (for instance, perception and control algorithms) without wasting time on auxiliary details which have little educational value. The templates are coded as ROS nodes or as Jupyter Notebooks ready to use in the web browser. Reference solutions for illustrative purposes and automatic assessment tools for gamification have also been developed. An introductory course to intelligent robotics has been elaborated and its contents are available and ready to use at Robotics-Academy, including reactive behaviors, path planning, local/global navigation, and self-localization algorithms. Robotics-Academy provides a valuable complement to master classes in blended learning, massive online open courses (MOOCs) and online video courses, devoted to addressing theoretical content. This open educational tool connects that theory with practical robot applications and is suitable to be used in distance education. Robotics-Academy has been successfully used in several subjects on undergraduate and master’s degree engineering courses, in addition to a pre-university pilot course.

The field of robotics is remarkably wide, with many social settings now entailing and increasingly requiring the use of robots to support a variety of human activities. Unsurprisingly, robots’ form and shape, their level of intelligence and intended purpose can vary significantly depending on the relevant industry.1 Domestic robots are already a reality in a growing number of family homes. They include both humanoid robots which support those in need (such as the elderly, people with disabilities or children) and robots for household consumer markets, including domestic vacuum cleaners and grass-trimmers. Humanoid robots only account for a small fraction of the industry, with robotic arms for industrial automation being instead widespread.2

[abstFig src='/00280001/05.jpg' width=""300"" text='Metrics generation process overview' ]Due to the complexity of designing mechatronic systems, providers of these systems need to precisely evaluate their products, design processes and projects all along the design phase and beyond. We propose a metrics generation process and then define related specifications to develop an evaluation tool to build customized metrics for the mechatronic industry with respect to its specific process and expectations. The proposed process has been experimented on the modularity measure of two generations of vacuum cleaner robots.

Abstract What do you think of when you hear the words: milking equipment? Do you think of the different brands? Boumatic, DeLaval, GEA or Lely? Do you think of parlours, parallels or rotaries? Do you think of teat cups, liners or rubber hosing? Do you think of teat dips and cleaners? If you think of mostly hardware – I can’t blame you. If I look at DeLaval, the company I work for, it has a 136-year history of offering dairy producers revolutionary innovations. In 1878, Gustaf de Laval patented the cream separator, which was the basis for forming our company in 1883. (That was even before Old MacDonald’s farm.) DeLaval has since made other significant improvements in animal health and welfare, milk production, food safety and labor efficiency with technologies like: the vacuum operated milking machine (1917); a commercial rotary (1930); animal identification systems (1978); variable speed vacuum pumps (1977); milking robots (late 1990s); an on-farm lab called Herd Navigator; Clover-shaped liners (2013); a teat spray robot (2015); a body condition score camera (2015); and our latest robot, the VMSTM V300 (2018). DeLaval has been pushing the Brave New World for many years. Today, we have a software program called DelProTM Farm Manager – a powerful data management tool providing valuable information and analysis. It enables the dairy producer to make efficient daily actions and for advisors to monitor and provide profitable and sustainable management actions. As animal scientists, what is your role in this? One avenue is to consider working with the data to provide relevant summaries on what the information is telling us. You can have a role in influencing management changes for dairy farms for the future. While not all farms have access to this data and information, your research projects can help dairy farmers wanting to make improvements to their operations. Producers need non-bias, third party sources they can reference. The dairy farming world is changing; we all need to keep up. Make sure the research that you decide upon fits into this rapid pace.

This article focuses on creation of autonomous robots by engineers that can interact with the world around them by layering simple behaviors. The growing presence of autonomous robots at Hanover echoes the interest seen worldwide. In the United States, for instance, autonomous robots range in sophistication from simple Roomba household vacuum cleaners to the complex vehicles that competed in Defense Advanced Research Projects Agency’s Urban Challenge. Instead, engineers are looking for clues in the behavior of social insects. Ants have attracted the most interest. While an individual ant has only a limited range of simple behaviors, the way it interacts with other ants produces responses that make the nest appear intelligent. Autonomous robots need better localization and mapping. They must learn faster and more efficiently. They should work together better as a team. They need to be more robust. Above all, they need to get smarter. An ant works randomly because it has no choice. It stumbles around until it creates the shortest path to food. Humans can see the whole picture and pick out that path immediately.

Purpose of the study. The aim of the study is the formation of the modular architecture of an intelligent system for solving the problems of the Internet of things. For this, modern trends in the development of technologies are considered, among which the most significant, promising areas and events in the field of information technologies are highlighted. Among these areas, events highlighted: the introduction of Industry 4.0 technologies; use of cloud, fog computing; machine learning; cognitive approach in the field of artificial intelligence; development of cognitive computing. The main content of these areas is disclosed. In the context of the Internet of things, the modular architecture of an intelligent system is considered and its modules for solving tasks of purposeful behavior are described. As part of the development of the Internet of things, approaches to the management of innovative processes are considered. Emphasis is placed on the use of cognitive maps. With an increase in the volume of information, problems arise in making effective decisions. For this, intelligent systems focused on the use of conceptual representations and scripting concepts are considered.Materials and research methods. When solving problems within the framework of the Industry 4.0 concept (the Internet of things), new approaches and methods are required. System Industry 4.0 represents many technologies, including the creation of devices, sensors, and many protocols for their interaction. One of its main directions is the Internet of things, which represents a new step in improving the Internet. For the development of the Internet of things, fog computing is used that extends and complements cloud computing. One of the central places on the Internet of things is machine learning. A brief description of the basic methods of machine learning is given. The use of a cognitive approach in the context of understanding and using mechanisms that allow a person to decipher information about reality and organize it for comparisons, decision making and many new tasks that arise in everyday life is shown. The developing directions of cognitive computing are presented.Results. The modular architecture of an intelligent system for solving the problems of the Internet of things is proposed: modules of an intelligent system for solving the problems of the Internet of things using sensory images; intelligent system modules for solving the problems of the Internet of things using conceptual representations; intelligent system modules for solving the problems of the Internet of things using concept scenarios. Significant, promising areas and events in the field of information technology are presented and their main content is disclosed. Approaches to the management of innovative processes are considered. The use of a fuzzy cognitive map is described, which reflects the stages and factors of creating a robot vacuum cleaner that affect the life cycle.Conclusion. Using the modular architecture of an intelligent system allows you to solve the problem of targeted behavior using sensual images of the world. Such systems can be used to solve the problems of the Internet of things. Using an integrated approach to the description of reality, the intelligent system of modular architecture allows the formation of conceptual representations and conceptual scenarios. They can reduce the flow of information, which is important for the Internet of things and the Internet of everything. Description of significant, promising areas in the field of information technology, approaches to managing innovative processes gives an understanding of the development of cognitive computing.

Robotic path planning is a field of research which is gaining traction given the broad domains of interest to which path planning is an important systemic requirement. The aim of path planning is to optimise the efficacy of robotic movement in a defined operational environment. For example, robots have been employed in many domains including: Cleaning robots (such as vacuum cleaners), automated paint spraying robots, window cleaning robots, forest monitoring robots, and agricultural robots (often driven using satellite and geostationary positional satellite data). Additionally, mobile robotic systems have been utilised in disaster areas and locations hazardous to humans (such as war zones in mine clearance). The coverage path planning problem describes an approach which is designed to determine the path that traverses all points in a defined operational environment while avoiding static and dynamic (moving) obstacles. In this paper we present our proposed Smooth-STC model, the aim of the model being to identify an optimal path, avoid all obstacles, prevent (or at least minimise) backtracking, and maximise the coverage in any defined operational environment. The experimental results in a simulation show that, in uncertain environments, our proposed smooth STC method achieves an almost absolute coverage rate and demonstrates improvement when measured against alternative conventional algorithms.

In western countries, robotics is becoming increasingly common in primary and secondary education, both as a specific discipline and a tool to make science, technology, engineering, and mathematics (STEM) subjects more appealing to children. The impact of robotics on society is also growing yearly, with new robotics applications in such things as autonomous cars, vacuum cleaners, and the area of logistics. In addition, the labor market is constantly demanding more professionals with robotics skills. This paper presents the PyBoKids framework for teaching robotics in secondary school, where its aim is to improve pre-university robotics education. It is based on the Python programming language and robots using an Arduino microprocessor. It includes a software infrastructure and a collection of practical exercises directed at pre-university students. The software infrastructure provides support for real and simulated robots. Moreover, we describe a pilot teaching project based on this framework, which was used by more than 2000 real students over the last two years.

Whether the source is autonomous car, robotic vacuum cleaner, or a quadcopter, signals from sensors tend to have some hidden patterns that repeat themselves. For example, typical GPS traces from a smartphone contain periodic trajectories such as “home, work, home, work, ⋯”. Our goal in this study was to automatically reverse engineer such signals, identify their periodicity, and then use it to compress and de-noise these signals. To do so, we present a novel method of using algorithms from the field of pattern matching and text compression to represent the “language” in such signals. Common text compression algorithms are less tailored to handle such strings. Moreover, they are lossless, and cannot be used to recover noisy signals. To this end, we define the recursive run-length encoding (RRLE) method, which is a generalization of the well known run-length encoding (RLE) method. Then, we suggest lossy and lossless algorithms to compress and de-noise such signals. Unlike previous results, running time and optimality guarantees are proved for each algorithm. Experimental results on synthetic and real data sets are provided. We demonstrate our system by showing how it can be used to turn commercial micro air-vehicles into autonomous robots. This is by reverse engineering their unpublished communication protocols and using a laptop or on-board micro-computer to control them. Our open source code may be useful for both the community of millions of toy robots users, as well as for researchers that may extend it for further protocols.

Actual importance of study. At the beginning of the 2020s developed world countries and countries which are the leaders of world economic development faced up the challenges of radical structural reformation of social production (from industry to service system) which is based on digitalization. Digital technologies in world science and business practice are considered essential part of a complex technological phenomenon like ‘Industry 4.0’. Digitalization should cover development of all business processes and management processes at micro-, meso- and microlevels, processes of social production management at national and world economy levels. In general, in the 21st century world is shifting rapidly to the strategies of digital technologies application. The countries which introduce these strategies will gain guaranteed competitive advantages: from reducing production costs and improved quality of goods and services to developing new sales market and making guaranteed super-profits. The countries which stand aside from digitalization processes are at risk of being among the outsiders of socio-economic development. Such problem statement highlights the actual importance of determining the directions, trends and strategic priorities of social production digitalization. This issue is really crucial for all world countries, including Ukraine which is in midst of profound structural reformation of all national production system. Problem statement. Digital economy shapes the ground for ‘Industry 4.0’, information, It technologies and large databases become the key technologies. The main asset of ‘Industry 4.0’ is information, the major tool of production is cyberphysical systems that lead to formation the single unified highly productive environmental system of collecting, analyzing and applying data to production and other processes. Cyberphysical systems provides ‘smart machines’ (productive machines, tools and equipment which are programmed) integration via their connection to the Internet, or creation special network, ‘Industrial Internet’ (IIoT) which is regarded as a productive analogue of ‘Internet of Things’ (IoT) that is focused on the consumers. ‘Internet of Things’ can be connected with ‘smart factories’ which use ‘Industrial Internet’ to adjust production processes quickly turning into account the changes in costs and availability of resources as well as demand for production made. One of the most essential tasks for current economics and researchers of systems and processes of organization future maintenance of world production is to determine the main strategic priorities of social production digitalization. Analysis of latest studies and publications. Valuable contribution to the study of the core and directions of strategic priorities concerning social production digitalization was made by such foreign scientists as the Canadian researcher Tapscott D [1], foreigners Sun, L., Zhao, L [2], Mcdowell, M. [3] and others. Yet, the study of issues concerning social production digitalization are mainly done by the team of authors as such issues are complicated and multihierarchical. Furthermore, the problem of social production digitalization is closely linked to the transition to sustainable development, which is reflected in the works by Ukrainian scholars like Khrapkin V., Ustimenko V., Kudrin O., Sagirov A. and others in the monograph “Determinants of sustainable economy development” [4]. The edition of the first in Ukraine inter-disciplinary textbook on Internet economy by a group of scientists like Tatomyr I., Kvasniy L., Poyda S. and others [5] should also be mentioned. But the challenges of social production digitalization are constantly focused on by theoretical scientists, analytics and practitioners of these processes. Determining unexplored parts of general problem. Defining strategic priorities of social production digitalization requires clear understanding of prospective spheres of their application, economic advantages and risks which mass transition of social production from traditional (industrial and post-industrial)to digital technologies bear. A new system of technological equipment (production digitalization, Internet-economy, technology ‘Industry 4.0’, NBIC- technologies and circular economy) has a number of economic advantages for commodity producers and countries, as well as leads to dramatical changes in the whole social security system, changes at labour market and reformation the integral system of social relations in the society. Tasks and objectives of the study. The objective of the study is to highlight the core and define the main strategic priorities of social production digitalization, as they cause the process of radical structural reformation of industrial production, services and social spheres of national economy of world countries and world economy in general. To achieve the objective set in the article the following tasks are determined and solved: - to define the main priorities of digital technologies development, which is radically modify all social production business processes; - to study the essence and the role of circular economy for transition to sustainable development taken EU countries as an example; - to identify the strategic priorities of robotization of production processes and priority spheres of industrial and service robots application; - to define the role of NBIC-technologies in the process of social production structural reformation and its transition to new digital technologies in the 21st century. Method and methodology of the study. While studying strategic priorities of social production digitalization theoretical and empirical methods of study are used, such as historical and logical, analysis and synthesis, abstract and specific, casual (cause-and-effect) ones. All of them helped to keep the track of digital technologies evolution and its impact on structural reformation of social production. Synergetic approach, method of expert estimates and casual methods are applied to ground system influence of digital technologies, ‘Industry 4.0’ and their materialization as ‘circular economy’ on the whole complicated and multihierarchical system of social production in general. Basic material (the results of the study). Digital economy, i.e. economy where it is virtual but not material or physical assets and transactions are of the greatest value, institutional environment in which business processes as well as all managerial processes are developed on the basis of digital computer technologies and information and communication technologies (ICT), lies as the ground for social production digitalization. ICT sphere involves production of electronic equipment, computing, hardware,.software and services. It also provides various information sevices. Information Technology serves as a material basis for digital economy and digital technologies development. Among the basic digital technologies the following ones play the profound role: technology ‘Blockchain’, 3D priniting, unmanned aerial vehicles and flying drones, virtual reality (VR). Augmented reality (AR), Internet of Things (IoT), Industrial Internet of Things (IIoT), Internet of Value (IoV) which is founded on IT and blockchain technology, Internet of Everything (IoE), Artificial Intelligence (AI), neuron networks and robots. These basic digital technologies in business processes and management practices are applied in synergy, complexity and system but not in a single way. System combination of digital technologies gives maximal economic effect from their practical application in all spheres of social production-from industry to all kinds of services. For instance, in education digital technologies promote illustrating and virtual supplement of study materials; in tourism trade they promote engagement of virtual guides, transport and logistics security of tourist routes, virtual adverts and trips arrangements, virtual guidebooks, virtual demonstration of services and IT brochures and leaflets. Digital technologies radically change gambling and show businesses, in particular, they provide virtual games with ‘being there’ effect. Digital technologies drastically modify the retail trade sphere, advertisement and publishing, management and marketing, as well as provide a lot of opportunities for collecting unbiased data concerning changes in market conditions in real time. Digital technologies lie as the basis for ‘circular economy’, whose essence rests with non-linear, secondary, circular use of all existing natural and material resources to provide the production and consumption without loss of quality and availability of goods and services developed on the grounds of innovations, IT-technology application and ‘Industry 4.0’. Among priorities of circular economy potential applications the following ones should be mentioned: municipal services, solid household wastes management and their recycling, mass transition to smart houses and smart towns, circular agriculture development, circular and renewable energy, The potential of circular economy fully and equally corresponds to the demands for energy efficiency and rational consumption of limited natural resources, so it is widely applied in EU countries while transiting to sustainable development. In the 21st century processes of social production robotization draw the maximal attention of the society. There is a division between industrial and service robots which combine artificial intelligence and other various digital technologies in synergy. Industrial robots are widely used in production, including automotive industry, processing industry, energetic, construction sectors and agriculture Services are applied in all other spheres and sectors of national and world economies –from military-industrial complex (for instance, for mining and demining the areas, military drones) to robots-cleaners (robots-vacuum cleaners), robots-taxis, robots engaged in health care service and served as nurses (provide the ill person with water, tidy up, bring meals). Social production robotization is proceeding apace. According to “World Robotic Report 2020”, within 2014 – 2019 the total quantity of industrial robots increased by 85 %. By 2020 in the world the share of robots in the sphere of automated industrial production had comprised 34 %, in electronics – 25%, in metallurgy – 10 %. These indicators are constantly growing which results in structural reformation of the whole system of economic and industrial processes, radical changes in world labour market and the social sphere of world economy in general. Alongside with generally recognized types of digital technologies and robotization processes, an innovation segment of digital economy – NBIC – technologies (Nanotechnology, Biotechnology, Information technology, Cognitive Science) are rapidly spread. Among the priorities of NBIC-technologies development the special place belongs to interaction between information and cognitive technologies. As a material basis for its synergy in NBIC-technologies creation of neuron networks, artificial intelligence, artificial cyber brain for robots are applied. It is estimated as one of the most prospective and important achievements of digital economy which determines basic, innovational vector of social production structural reformations in the 21st century. The sphere of results application. International economic relations and world economy, development of competitive strategies of national and social production digitalization of world economy in general. Conclusions. Digital technologies radically change all spheres of social production and social life, including business and managerial processes at all levels. Digital technologies are constantly developing and modifying, that promotes emergence of new spheres and new business activities and management. 21st century witnessed establishing digital economy, smart economy, circular economy, green economy and other various arrangements of social production which are based on digital technologies. Social production digitalization and innovative digital technologies promotes business with flexible systems of arrangement and management, production and sales grounded on processing large Big Data permanently, on the basis of online monitoring in real time. Grounded on digital technologies business in real time mode processes a massive Big Data and on their results makes smart decisions in all business spheres and business processes management. Radical shifts in social production digitalization provides businesses of the states which in practice introduce digital technologies with significant competitive advantages - from decrease in goods and services production cost to targeted meeting of specific needs of consumers. Whereas, rapid introduction of digital technologies in the countries-leaders of world economic development results in a set of system socio-economic and socio-political challenges, including the following: crucial reformatting the world labour market and rise in mass unemployment, shift from traditional export developing countries’ specialization, breakups of traditional production networks being in force since the end of the 20th century, so called ‘chains of additional value shaping’, breakups of traditional cooperation links among world countries and shaping the new ones based on ‘Industry 4.0’ and ‘Industrial Internet’. Socio-economic and political consequences of radical structural reformation of all spheres in national and world economy in the 21st century, undoubtedly, will be stipulated with the processes of social production digitalization. It will require further systemic and fundamental scientific studies on this complicated and multi hierarchical process.

Modern households are becoming more and more convenient and intelligent by applying new technology to reduce the time spent on house chores. In this study, the authors proposed the mapping, covering strategies, and control algorithms for vacuum cleaner robot. The robot will automatically implement the cleaning task in a single pass. The sensor system includes infrared sensor, 9 Dof MPU 9250, Delta Lidar 2A, ultrasonic sensor to help robots navigate, build maps and detect obstacles. ROS system (Robot Operating System) is used to control and simulate vacuuming operation in real-world environments. The experiments are conducted in order to illustrate the superiority of the proposed approach.

In this paper we have built a Filth Cleaning Robot using IoT which functions autonomously. The cleaning and moving system is controlled by a microcontroller (Arduino Uno) which is connected to the Blynk App using the Wi-Fi module ESP8266. This system does the cleaning process efficiently using a vacuum cleaner and a wiper motor which is controlled by the internet of things. This system can be used in hazardous places as well as for commercial usage which allows the cleaning process to be completed without the need of a human supervision. It consists of a three way cleaning method i.e. vacuum cleaner, water pump and mop.

Automation has the predominant influence on renovation of most of the household tasks to modernized automated household tasks which saves labor resource by means of time. Most of the household tasks are mechanized in current scenario. Cleaning is one of the crucial and essential work. Technical improvement in computational efficiency, artificial intelligence and robotics provide a strong platform for mechanization. One such technology is ingenious floor cleaner. Ingenious floor cleaner using ARDUINO works in automatic and manual control modes along with vacuum cleaning and wet mopping exercise. In automatic mode, both sweeping and mopping, only mopping and only sweeping are possible.Arduino UNO is the widely used recognized board which pedals the entire progress. Bluetooth module HC05 assists controlling the robot in manual control and ultrasonic sensor assists for obstacle detection in automatic mode. This Ingenious floor cleaner can reach the corners of the cleaning space in effective manner. The robotic cleaners can be deployed in assisting labor in floor cleaning works at homes, hotels, restaurants, offices, hospitals etc.,

Today, households are becoming smarter and automated. Soon, the non-renewable sources that are used today are going to get exhausted. So, the usage of renewable source of energy is very important. The aim of this project is to develop solar powered unmanned cleaning robot (SPUCR) without human guidance. The developed SPUCR is equipped with dry cleaning technology and controlled by Arduino mega microcontroller. The SPUCR navigates in all direction with the help of motors connected to the wheel. Obstacle sensor is used to detect the obstacles and helps the SPUCR in self-navigation. The LDR fixed with solar panel is used for sensing the solar light and convert it to battery voltage. The status of the battery is displayed using LCD. The IR sensor detects the Vacuum Cleaner status and sends the message via GSM. The location of SPUCR can be found using GPS. All the data are sent to the cloud with the help of WI-FI module. The technology is developed, and usage of smart phone has become wider. So, the navigation, location, battery level and light intensity of the Solar Powered Unmanned Cleaning Robot (SPUCR) can be monitored using the data stored in the cloud and displayed in android app application. The developed project is useful for dry cleaning by the residents and workers. The robot moves by itself without continuous human guidance and cleans the house or office. Thus, saving a lot of time and making it convenient and useful.

Clean water supply is important in ensuring good health of people. Water supply is distributed from water storage tanks. Sediment that accumulates over time in water storage tanks will deteriorate the water quality used by consumers. Therefore, water storage tanks are required to be cleaned once in every three years by water utility operators or tank cleaning service providers. Manual cleaning method is done by draining off and resupply water into the tank after workers have cleaned the tank using water jet and brushes. In this paper, an alternative cleaning method using a Remotely Operated Underwater Vehicle (ROV) is proposed. Using ROV, water supply disruption can be prevented and cleaning process will be more efficient and cost effective. An ROV is built to operate underwater and vacuum out sediments from water tank. Operator on screen can see live-streaming video. Raspberry Pi is used as the main communication board to interface with MATLAB. Operator will operates the ROV remotely to carry out the cleaning process. IMU sensor was also used for simulation study in MATLAB for orientation movements testing.

AbstractWe try to perform geometrization of psychology by representing mental states, “ideas,” by points of a metric space–mental space. Evolution of ideas is described by dynamical systems in metric mental space. We apply the mental space approach for modeling of flows of unconscious and conscious information in the human brain. In a series of models, Models 1-4, we consider cognitive systems with increasing complexity of psychological behavior determined by the structure of flows of ideas. Since our models are in fact models of the AI-type, one immediately recognizes that they can be used for creation of AI-systems, which we call psycho-robots, exhibiting important elements of the human psyche. Creation of such psycho-robots may be useful in the improvement of domestic robots. At the moment domestic robots are merely simple working devices (e.g. vacuum cleaners or lawn mowers). However, in future one can expect demand for systems which can not only perform simple work tasks, but also have elements of human self-developing psyche. Such AI-psyche could play an important role both in relations between psycho-robots and their owners as well as between psycho-robots. Since the presence of a huge numbers of psycho-complexes is an essential characteristic of human psychology, it would be interesting to model them in the AI-framework.