The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things

As the Internet of Things (IoT) penetrates different domains and application areas, it has recently entered also the world of robotics. Robotics constitutes a modern and fast-evolving technology, increasingly being used in industrial, commercial and domestic settings. IoT, together with the Web of Things (WoT) could provide many benefits to robotic systems. Some of the benefits of IoT in robotics have been discussed in related work. This paper moves one step further, studying the actual current use of IoT in robotics, through various real-world examples encountered through a bibliographic research. The paper also examines the potential ofWoT, together with robotic systems, investigating which concepts, characteristics, architectures, hardware, software and communication methods of IoT are used in existing robotic systems, which sensors and actions are incorporated in IoT-based robots, as well as in which application areas. Finally, the current application of WoT in robotics is examined and discussed

Unmanned Aerial Vehicle Design for Smart City Application

Nowadays, Unmanned Aerial Vehicles (UAVs) or drones are also one of the applications to provide the required services and to gather information from the target location.  Because smart city applications effectively deal the drone interaction and enhance the human lifestyle with drones. Moreover, UAVs are generally utilized due to their privacy threats, lower cost, pose security, and versatility, which request dependable detection at lower altitudes. However, the less sensing module in the drone has earned the low sensing accuracy of location tracking. So, this paper aims to develop a novel Firefly-based Recurrent Neural Mechanism (FRNM) to enrich the sensing capacity of the drone vehicle. In addition, the sound of the research is medicine delivery through UAVs in emergencies. This UAV system is one of the most crucial features to delivering essential medical items aids by reaching properly correspondent patients.  Moreover, the client's needs are stored in the FRNM cloud then that stored data is trained to the UAV machine. Hereafter, based on the trained details, the drone can reach the destination and has delivered the requested medicine to the specific clients. The planned design is drawn in Network Simulator (NS2) environment, and the robustness of the projected replica is valued by calculating the chief parameters. Hereafter, the improvement score was valued by the comparison assessment. Hence, the FRNM has reported the finest performance by earning less location finding duration, running period, and error rate

WearIoT: swearable IoT human emergency system

A área da saúde foi uma das muitas beneficiadas com a evolução tecnológica, dando origem a novos conceitos que visam melhorar ou mesmo prolongar a vida das pessoas. Os sistemas de monitorização vestíveis, juntamente com as comunicações sem fios, são a base de uma classe emergente de redes de sensores. Estas tecnologias de informação permitem a deteção precoce de condições anormais e ajudam na sua prevenção. O objetivo é criar um destes sistemas compostos por uma rede de sensores que é implementada numa peça de roupa através de fios condutores com sensores conectados. Em contato com o corpo humano tem a função de fazer várias leituras, e.g., temperatura corporal, pulsação, entre outras. Outro objetivo é detetar quedas do utilizador. A deteção de quedas é cada vez mais importante para o utilizador, pois é uma situação que pode colocar em risco a sua saúde. Para o desenvolvimento deste conceito, são utilizadas Comunicações Móveis e o Sistema de Posicionamento Global. A primeira é uma tecnologia que permite criar chamadas de emergência em resposta a alarmes do sistema, o segundo indica qual a sua posição geográfica. Para complementar o sistema, existe uma plataforma online que regista a posição do utilizador tal como os seus dados. Tem também uma área de alertas no qual o utilizador pode verificar os seus valores preocupantes. Em caso de emergência o sistema contacta os serviços de emergência ou em casos especiais a ajuda pode ser obtida através de um UAV.The health area was one of the many beneficiaries of technological evolution, giving rise to new concepts that aim to improve or even prolong people’s lives. Wearable monitoring systems, along with wireless communications, form the basis of an emerging class of sensor networks. These information technologies enable the early detection of abnormal conditions and help in their prevention. The goal is to create one of these systems composed by a network of sensors that is implemented in a garment through conductive wires with connected sensors. In contact with the human body it has the function of doing several readings, e.g., body temperature, heartbeat, among others. Another goal is to detect user falls. The detection of falls is increasingly important for the user, as it is a situation that can endanger people’s health. For the development of this concept, Mobile Communications and the Global Positioning System are used. The first is a technology that allows to create emergency calls in response to system alarms, the second indicates the geographical location. To complement the system there is an online platform that registers the position of the user as well as his data. There is also an alert area in which the user can check his alarming values. In case of emergency the system contacts the emergency services or in special cases help can be obtained through an UAV