Deep learning is a new area of machine learning research. Deep learning technology applies the nonlinear and advanced transformation of model abstraction into a large database. The latest development shows that deep learning in various fields and greatly contributed to artificial intelligence so far. This article reviews the contributions and new applications of deep learning. The main target of this review is to give the summarize points for scholars to have the analysis about applications and algorithms. Then review tries to investigate the main applications and uses algorithms. In addition, the advantages of using the method of deep learning and its hierarchical and nonlinear functioning are introduced and compared to traditional algorithms in common applications. The following three criteria should be taken into consideration when choosing the area of application. (1) expertise or knowledge of the author; (2) the successful application of deep learning technology has changed the field of application, such as voice recognition, chat robots, search technology and vision; and (3) deep learning can have a significant impact on the application domain and benefit from recent research with natural language and text processing, information recovery and multimodal information processing resulting from multitasking deep learning. This review provides a general overview of a new concept and the growing benefits and popularity of deep learning, which can help researchers and students interested in deep learning methods.

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<p>In the last decade, because of the unique specification of vertical fliers, scientists and researchers had a special focus on them. The particular abilities of these fliers can be mentioned such as: high maneuver ability, low expenses, decrease in radar identifier and low threat for the human life. They also have no limitation in dimension. Moreover, because of some applications like photography, topography, news coverage, study of power lines and aerology analysis, they can be notable for using. These fliers also are significantly important because of monitoring in urban regions, agricultural harvest and spray poison, illegal imports, exports administration and fire distinction in order to control the fire. Besides, seek and rescue missing people and also natural disasters can be pre-determined which causes stimulus investigators to act and put different topics in front of them. One of these fields is using meta-heuristic algorithms with the capability of using in control systems. The PID controller as a classic model has some limitations, but by optimization of special index through meta-heuristic algorithms, it has shown acceptable results. In this study, first, the history of vertical fliers and quadrotor are investigated. Then, after a review of overused methods, the quadrotor control has been done. Afterward, the cinematic and dynamic of quadrotor is presented. Next by designing of PID controller, PID index optimization by nature inspired algorithm, particle swarm optimization (PSO), genetic algorithms (GA), and firefly algorithms (FA) have been studied. Dynamic system, controller and mentioned optimization methods of PID controller index have also been implemented in MATLAB software. Also, with due attention to the comparison criteria the PID-PSO controller has shown the best performance. Next, by applying challenging routes, the stability of controller in the simulation is evaluated. Then, making quadrotor is done in practice along with introducing the used implementation of PID-PSO controller results on the real robot, and its stability is evaluated practically.</p>

Automated guided vehicles (AGVs) are popular subsets of robots that come in various shapes and sizes. The group’s use in the industry ranges from applications for carrying pallets, carts, and utensils to helping the elderly or transporting medicine to hospitals. Even recently, they have been used in libraries to carry books on shelves. The main part of an AGV includes its body, motor, driver, processor, and sensors, which are more or less the same in all types of AGVs, and addons vary depending on the application and the work environment. The part that affects AGV performance is the control strategy, to which researchers have shown different approaches. Using various techniques and simulations to obtain a model is the key and can help to improve and evaluate the performance of the strategy of the robot. In this study, based on the actual design of the AGV system, all data and components are described, and the simulation is performed in MATLAB software. Then, for controlling the platform based on the PID controller tuning, four methods of Ziegler Nichols, empirical, Particle Swarm Optimization (PSO), and Beetle Antennae Searching (BAS) (optimizer) are discussed, and the results are compared in the four paths including the circle, ellipse, Spiral and 8-shaped paths by observing and testing the tuned PID parameters. Finally, a series of subsequent experiences were carried out in CoppeliaSim (VREP) as a famous robot simulator to overcome the environmental constraints for the same paths that were used in Matlab based on the extracted PID values. Based on the results, the empirical methods, PSO, and BAS errors are very close together. But in general, the BAS algorithm is the fastest, and the PSO had better performance. In general, the maximum error is linked to the path of 8 shapes and the minimum is related to circle shape one. Finally, the analysis of results in different paths in both simulators shows the same results. Therefore, concerning the limited test on the real platform and using the PID coefficients obtained from the simulation shows the model’s ability for the researchers in robotic research.

Daily tasks mixed with the various applications in the robotic field. Since past, pipes have been used as the safe fluid transmitter. But gradually, these pipes affected by fatigue, cracking, leakage, sediment and breaking down. Also, sometimes humid environment and chemical products existing in the soil, causes rust and fatigue the pipes. All these problems lead to redundancy and impose high expenses for installation and maintenance. One of the recent inspection ways, is using the robot controller which leads to help and reduces the inspection time and preventive repairs activity. Besides, sometimes there are some unpleasant situation such as unfit pipes. It is obvious that in these conditions, doing inspection in toxic arena, narrow and meandering ways is impossible by human. So, designing a pipe inspection robot can be helpful in such circumstances. In this design, first, the former study, the way of operation, movement, mechanisms and advantages of each robot have studied. Then, by considering important parameters in designing, and sketching, making robot with the help of CATIA took place. This structure enjoys a regular mechanism design. It also has a proportional pipe diameter with the possibility of crossing through the slope routes. On the other hand, recording and processing of visual report, needs a camera and GUI toolbox written in Matlab. So image processing can help to exact investigation. One of the main difference of this research work over the various test on the platform, is hiring the mentioned toolbox which helps the operator to have the double investigation inside of the pipes. Moreover, the adjustable mechanism to pipe diameter, polyhedral movement and ascension power, relatively high efficiency in order to use frictional power and reducing repair and pause time are the advantages of this design. Also, observing the inner side of the pipe on the monitor, leads to reducing images. Moreover, its investigation by the introduced toolbox, causes more effective observation, more quickly diagnosis and analysis.

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After nearly 30 years of development, service robot technology has made important achievements in the interdisciplinary aspects of machinery, information, materials, control, medicine, etc. These robot types have different shapes, and mainly in some are shaped based on application. Till today various structure are proposed which for the better analysis’s need to have the mathematical equation that can model the structure and later the behaviour of them after implementing the controlling strategy. The current paper discusses the various shape and applications of all available service robots and briefly summarizes the research progress of key points such as robot dynamics, robot types, and different dynamic models of the differential types of service robots. The current review study can be helpful as an initial node for all researchers in this topic and help them to have the better simulation and analyses. Besides the current research shows some application that can specify the service robot model over the application.