Juniper Publishers-Journal of Robotics Engineering

Juniper Publishers- Journal of Robotics Introduction It is a technologically anticipated development that robotics in our age will become widespread and find common application areas in almost all sectors such as defense, transportation, health, service and manufacturing. This process is still expanding and the role of robots in everyday life as well as in industrial applications is increasing. One of the important applications of robotic systems in manufacturing environments is automated guided vehicles (AGVs). AGVs are autonomous systems controlled by a central control unit, operate autonomously without the need for an operator, and are used for transporting materials from one point to another [1-3]. An AGV reduces the number of occupational accidents that occur due to human beings because it fulfills all kinds of transportation operations without human interference in departments such as production, logistics, warehouse and distribution. These systems, which a...

Juniper Publishers- Journal of Robotics Abstract The Internet of Things (IoT) is a recent revolution of the Internet which is increasingly adopted with great success in business, industry, healthcare, economic, and other sectors of modern information society. In particular, IoT supported by artificial intelligence enhances considerably the success in a large repertory of every-day applications with dominant one’s enterprise, transportation, robotics, industrial, and automation systems applications. Our aim in this article is to provide a global discussion of the main issues concerning the synergy of IoT and AI, including currently running and potential applications of great value for the society. Starting with an overview of the IoT and AI fields, the article describes what is meant by the concept of ‘IoT-AI synergy’, illustrates the factors that drive the development of ‘IoT enabled by AI’, and summarizes the concepts of ‘Industrial IoT’ (IIoT), ‘Internet of ...

Juniper Publishers- Journal of Robotics Abstract In this paper, an approach estimation of nonlinear systems in renewable energies is studied. The system can be structured by blocks-oriented. The proposed solution is more general and can be easy to implement. Keywords: Nonlinear systems; Renewable energies; Oriented blocks; Harmonics analysis Introduction In this work, nonlinear system used in renewable energies is dealt. These nonlinear systems can be described by blocks-oriented. Lately, these types of models are increasingly used practically [1-4]. Nonlinear systems estimation parameters are a necessary step in control [5-7]. The nonlinear element can be in input of system (Figure 1) or in output of system (Figure 2). If the two blocks are parametric, the determination of parameters nonlinear system can be done using quite a few solutions e.g. [1-4]. When both parts are parametric, the identification problem has...

Juniper Publishers- Journal of Robotics Introduction The wireless implants, so-called “Neural Dust’’ have the potential capabilities to spark the neurons in central nervous system or peripheral nervous system [1]. Such potentials can be utilized in various areas that could benefit from such technologies e.g., medical field, to hasten the progress and new future treatments developments for many diseases and disorders such as depression, dementia etc. [2]. Thus, neural dust triggered further researches to expand and increase the potential usage for these technologies in order to utilize them in brain-machine interface which will enable humans in controlling prosthetic limbs or exoskeleton to enhance normal human capabilities. Such applications of technologies provoked ethical considerations because of its violations ethical principles in medicine and other areas and because of the possibilities of usage in mischievous way as in “mind control”, since neural dus...

Juniper Publishers- Journal of Robotics Abstract Design of effective control for unmanned aerial vehicles (UAVs) requires consideration of several sources of uncertainty. These undesired uncertainties affect the flight stability and performance in an unpredictable manner. The existence of transmission delays caused by wireless communication and payload variation are among such critical challenges. Adaptive control (AC) can lead to high performance tracking in the presence of uncertainties. This paper presents the application of model reference adaptive control (MRAC) to quadrotor types of UAVs considering the time delay in the altitude control system. MATLAB system identification tool is applied to obtain the altitude motion model, without time delay, for the quadrotor. Proportional-plus-velocity (PV) and PV-MRAC altitude control systems are designed, by incorporating an estimated constant time delay. The designed controllers are validated using simulations and fl...