Design of an intelligent housekeeping robot based on IOT

Wang, Shunzhou; Zhao, Huijuan; Hao, Xuyao

doi:10.1109/iciibms.2015.7439511

Cited by 16 publications

(7 citation statements)

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“…IoT is a kind of intelligent network to realize the interconnection of all things, which connects all objects to the Internet through information sensing devices such as radio frequency identifcation and can realize intelligent identifcation, provide real-time online management, and service functions that are safe and controllable and even personalized and complete the integration of "management, control, and management" of "all things" [5]." Te main feature of IoT is to obtain various information of the physical world by means of radio frequency identifcation and sensors, to transmit and interact with information by combining with networks such as Internet and mobile communication networks, and to analyze and process information by using an intelligent computing technology, so as to improve the perception ability of the material world and realize intelligent decision-making and control [6]. Te emergence of IoT has broken the barrier between the physical world and the information world, successfully integrating reinforced concrete, machines, and the Internet into a new whole and better serving human production and life.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control System Design of Ring Light via IOT Mobile Robot

Kang¹,

Teng²

2023

Journal of Robotics

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In the Internet of Things (IoT) era, the combination of mobile robots and IoT technology has realized the complementary advantages of the IoT and robots, which has brought new challenges and opportunities for the development and application of the IoT and mobile robots. In this study, a mobile robot positioning system based on the wireless positioning technology of the IoT is first designed, and an adaptive federated filtering algorithm based on the confidence of the sensor measurement data is given, and the data fusion processing is carried out for the positioning system to achieve the accurate positioning of the mobile robot. Then, we embed the intelligent control system of the ring lamp and propose an adaptive fuzzy PI double closed loop equalization control strategy, which can automatically identify the number of interlaced parallel and ensure its equalization effect. The experimental results show that the equalization strategy designed in this study has a good equalization effect in the loop interleaving parallel topology, strong adaptive parameter adjustment ability, good robustness, and anti-interference.

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Section: Introductionmentioning

confidence: 99%

Intelligent Control System Design of Ring Light via IOT Mobile Robot

Kang¹,

Teng²

2023

Journal of Robotics

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“…Parisi et al [299] believe that assistive mobile robots have the capability of operating in complex environments such as houses, which are ideal for self-care and independent living applications and enhance the perception of safety among elderly people and prevent them from losing their confidence in their homes. For example, a home biomonitoring robot can sense and recognize human activity in a living environment by using active sensing [300], Humanoid robots can interact with the elderly in nursing homes using spoken dialogue which provides companionship and helps the elderly stay mentally active [301], in the home environment, a robot can assist the elderly in finding misplaced items [302], and the smart housekeeper (an IoT-based indoor mobile robot) can provide housekeeping services and control home appliances and provide indoor security [303].…”

Section: Assistive Robotsmentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

Alqahtani¹,

Janbi²,

Sharaf³

et al. 2022

Preprint

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Technological advancements and innovations have profoundly changed the lives of people giving rise to smart environments, cities, and societies. As homes are the building block of cities and societies, smart homes are critical to establishing smart living and are expected to play a key role in enabling smart cities and societies. The current academic literature and commercial advancements on smart homes have mainly focused on developing and providing smart functions for homes to provide security management and facilitate the residents in their various activities such as ambiance management. Homes are much more than physical structures, buildings, appliances, operational machines, and systems. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, the roles of smart homes that would serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, rather fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public using over a hundred thousand research papers and nearly a million tweets. We develop a methodology using deep learning, natural language processing (NLP), and big data analytics methods and apply it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific, policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

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“…People can operate the robot remotely by another smart mobile phone at any time. It can realize remote video searching, home appliance control, and indoor security (Wang et al,2015).…”

Section: Introductionmentioning

confidence: 99%

Mobile Robot Position Controlling System Based On IoT Through Raspberry Pi

Karahan¹,

Hökelek²

2020

Journal of Intelligent Systems: Theory and Applications

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In IoT communication technologies, interconnected computing devices, mechanical and digital machines, objects, animals or unique identifiers (UIDs) can transmit data over a network without the need for people or networks. Increasingly, organizations in various industries use IoT technology to work more efficiently, provide better customer service, improve decision-making, and increase business value. In this study, an HTML based control panel was created and IoT based mobile robot position control was performed via Raspberry Pi via this control panel. The control of this mobile robot is entirely IoT-based and can be controlled from anywhere with Internet access via the control panel on the relevant web page. The aim of this study is to prove how a real-time platform can be controlled over Internet via a widely used microcontroller today such as Raspberry Pi and to explain how the communication between the microcontroller and Web takes place simply and understandably in the background.

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Design of an intelligent housekeeping robot based on IOT

Cited by 16 publications

References 0 publications

Intelligent Control System Design of Ring Light via IOT Mobile Robot

Intelligent Control System Design of Ring Light via IOT Mobile Robot

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

Mobile Robot Position Controlling System Based On IoT Through Raspberry Pi

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