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Journal articles on the topic 'Matlab Mobile'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Lohade, Shruti, Roshni John, Ekta Bhojwani, and Abhijeet Chavan. "Fault Detection of Mobile Bracket with MATLAB." International Journal of Computer Applications 161, no. 10 (2017): 38–40. http://dx.doi.org/10.5120/ijca2017913351.

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2

Karakaya, Suat, Gurkan Kucukyildiz, and Hasan Ocak. "A New Mobile Robot Toolbox for Matlab." Journal of Intelligent & Robotic Systems 87, no. 1 (2017): 125–40. http://dx.doi.org/10.1007/s10846-017-0480-2.

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3

Casini, Marco, and Andrea Garulli. "MARS: a Matlab simulator for mobile robotics experiments." IFAC-PapersOnLine 49, no. 6 (2016): 69–74. http://dx.doi.org/10.1016/j.ifacol.2016.07.155.

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4

Ren, Hao, and Xin Xin Wang. "Intelligent Robots with MCU Communication System Based on MATLAB." Applied Mechanics and Materials 556-562 (May 2014): 2384–87. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2384.

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In order to obtain road information to process and requiring movement precision for intelligent mobile robots, we propose solution based on data collection and analysis to control motor. First, we introduce the basic method of serial communication on Matlab. Then, we design PC serial communication and test platform with step motor in Matlab environment. Finally, we can control the mobile robots’ motor driver by processing external data with Matlab. The results show that the solution improves the data-process ability of intelligent sweep-robots, greatly simplifies the development process, impro

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5

Fontan, F. P., A. Seoane, and M. V. Castro. "Matlab for Windows Software AID in a Mobile Communications Course." International Journal of Electrical Engineering & Education 32, no. 4 (1995): 341–49. http://dx.doi.org/10.1177/002072099503200409.

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Matlab for windows software aid in a mobile communications course A simple model for the teaching of land mobile communication channel issues has been implemented. The landscapes the mobile terminal traverses are described in terms screens, point scatterers, reflectors, etc. By using simple ray tracing techniques all multipath contributions arriving at the receiver are evaluated and the most relevant channel parameters are computed.

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Ali, Mohammad Abdo Hashem, Musa Mailah, Howe Hing Tang, and Mohd Akmal A. Rahim. "Autonomous Mobile Robot Platform for On-the-Road Navigation." Advanced Materials Research 845 (December 2013): 750–54. http://dx.doi.org/10.4028/www.scientific.net/amr.845.750.

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This paper presents a mechatronic development of a new mobile robot platform for autonomous on-the-road navigation. It uses sensor fusion involving the camera, laser range finder (LRF) and odometry to guide and find the free collision path during navigation. The embedded controller system has been deliberately developed to integrate the mechanical parts with the electronics and software algorithms. Microsoft Visual C# and MATLAB are linked together to perform the road recognition calculation via the proposed algorithms. The main processing program in C# is later extended to MATLAB environment

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7

Yun, Soh Chin, S. Parasuraman, and Velappa Ganapathy. "Evolutionary Techniques for Mobile Robot Navigation." Advanced Materials Research 433-440 (January 2012): 6646–51. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6646.

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Current research trend in mobile robot is to build intelligent and autonomous systems that enables mobile robot to plan its motion in static and dynamic environment. In this paper, Genetic Algorithm (GA) is utilized to come out with an algorithm that enables the mobile robot to move from the starting position to the desired goal without colliding with any of the obstacles in the environment. The proposed navigation technique is capable of re-planning new optimum collision free path in the event of mobile robot encountering dynamic obstacles. The method is verified using MATLAB simulation and v

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Yoshida, Kazuya. "The SpaceDyn: a MATLAB Toolbox for Space and Mobile Robots." Journal of Robotics and Mechatronics 12, no. 4 (2000): 411–16. http://dx.doi.org/10.20965/jrm.2000.p0411.

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A collection of useful subroutines named the SpaceDyn is developed in order to offer an open, free tool of numerical simulations for researchers both in robotics and space engineering fields. The SpaceDyn is a MATLAB Toolbox for kinematic and dynamic analysis and simulation of articulated multibody systems with a moving base. Examples of such systems include a satellite with mechanical appendages, a free-flying space robot, a robotic system with structural flexibility, and a mobile robot, all of which makes motions in the environment with or without gravity.

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9

Butkovskiy, A. G., V. A. Kubyshkin, and V. S. Suhoverov. "System of Simulation and Control with Mobile Sources on MATLAB." IFAC Proceedings Volumes 42, no. 4 (2009): 1201–4. http://dx.doi.org/10.3182/20090603-3-ru-2001.0568.

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10

De Silva, DS. "Development of a MATLAB Toolbox for Mobile Radio Channel Simulators." Journal of the University of Ruhuna 2, no. 1-2 (2014): 40. http://dx.doi.org/10.4038/jur.v2i1-2.7853.

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11

Alwan, Mazin, Anwar Green, Abdulazez Noori, and Ammar Aldair. "Design and Implementation of Line Follower Arduino Mobile Robot Using Matlab Simulink Toolbox." Iraqi Journal for Electrical and Electronic Engineering 17, no. 2 (2021): 11–16. http://dx.doi.org/10.37917/ijeee.17.2.2.

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The main problem of line follower robot is how to make the mobile robot follows a desired path (which is a line drawn on the floor) smoothly and accurately in shortest time. In this paper, the design and implementation of a complex line follower mission is presented by using Matlab Simulink toolbox. The motion of mobile robot on the complex path is simulated by using the Robot Simulator which is programed in Matlab to design and test the performance of the proposed line follower algorithm and the designed PID controller. Due to the complexity of selection the parameters of PID controller, the

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12

Safwan, Muhammad, Muhammad Yasir Zaheen, M. Anwar Ahmed, Muhammad Shujaat Kamal, and Raj Kumar. "Bio-Mimetic Vision System For Autonomous Mobile Robot Navigation." Sir Syed University Research Journal of Engineering & Technology 3, no. 1 (2013): 4. http://dx.doi.org/10.33317/ssurj.v3i1.63.

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Bio-Mimetic Vision System (BMVS) for AutonomousMobile Robot Navigation encompasses three major fields, namelyrobotics, navigation and obstacle avoidance. Bio-mimetic vision isbased on stereo vision. Summation of Absolute Difference (SAD)is applied on the images from the two cameras and disparity mapis generated which is then used to navigate and avoid obstacles.Camera calibration and SAD is applied on Matlab software.AT89C52 microcontroller, along with Matlab, is used to efficientlycontrol the DC motors mounted on the robot frame. It is observedfrom experimental results that the developed syst

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13

Xu, En Qing, Sen Quan Fan, Si Wei Wang, Jia Qiu Chen, Tian Bo Wang, and Wen Xiu Wu. "Application of Mixed Programming with MATLAB and VC++ in Research of Satellite Mobile Communications Fading Channel." Advanced Materials Research 791-793 (September 2013): 2027–30. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.2027.

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We need to achieve real-time parameter control and process a large number of complex numerical calculations in the research of satellite mobile communications fading channel. MATLAB has powerful numerical calculation functions and graphing display characteristics, VC++ has powerful functions to make program interface and can achieve port operation, real-time processing. MATLAB and VC++ mixed programming combines the advantages of both languages and provides strong technical support to the research of satellite mobile communications fading channel. This paper introduces the calculation model of

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14

Lisowski, Józef. "Synthesis of a Path-Planning Algorithm for Autonomous Robots Moving in a Game Environment during Collision Avoidance." Electronics 10, no. 6 (2021): 675. http://dx.doi.org/10.3390/electronics10060675.

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This paper describes and illustrates the optimization of a safe mobile robot control process in collision situations using the model of a multistep matrix game of many participants in the form of a dual linear programming problem. The synthesis of non-cooperative and cooperative game control software was performed in Matlab/Simulink software to determine the safe path of the robot when passing a greater number of other robots and obstacles. The operation of the game motion control algorithm of a mobile robot is illustrated by computer simulations made in the Matlab/Simulink program of two real

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15

Li, Kong Zhao, Cheng Hong Zhang, and Cheng Guang Zhang. "Study on Parameter Optimize of High-Speed Mobile and Matlab Simulate." Advanced Materials Research 291-294 (July 2011): 1879–82. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.1879.

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Parameters optimization design of high-speed moving object is a very complex question. It involves many other subjects both in theoretical research and engineering application. Therefore, it is very significant to research on motion parameter optimization design of high-speed moving object. Firstly, in the known initial moment, the entering depth of moving object is; the initial velocity is; the length of moving object is L; the angle into the water is; and the average relative density of object is. It researches on the optimization of the best slenderness ratio, cavitation number and cavitato

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16

BENSACI, Chaima, Youcef ZENNIR, and Denis POMORSKI. "Control Of Mobile Robot Navigation Under The Virtual World Matlab-Gazebo." Algerian Journal of Signals and Systems 2, no. 4 (2017): 207–17. http://dx.doi.org/10.51485/ajss.v2i4.46.

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In this paper, we present our navigation control approach of a mobile robot (Turtlebot 2 robot) based on the stability Lyapunov function; our mobile robot is composed of two differential wheels. The kinematic model of the robot is presented followed by the description of the control approach. A 3D simulation under the Gazebo software is developed in interaction with the kinematic model and the control approach under MATLAB-SIMULINK software. The purpose of this study is to carry out an autonomous navigation; we initially planned different trajectories then we tried to be followed them by the r

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17

Zeng, Xia Ling, and Lin Zhang. "Research on Multilevel Mobile Sensor Network Control Based on Probability Coverage Model." Applied Mechanics and Materials 602-605 (August 2014): 1214–18. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1214.

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The control of mobile coverage model is the focus research of wireless sensor network. If a node can balance the network load according to the network needs, which can greatly reduce the consumption of the network, improve the network transmission efficiency and prolong the network life cycle. Accordingly, this paper uses probability coverage principle to improve multilevel mobile sensor network model, which improves the mobile sensor network coverage and enhances the energy-saving effect of the network nodes. In order to verify the effectiveness and reliability of the multilevel mobile sensor

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18

Anang, Nurhazwani, Mohammad Safwan AB Hamid, and Wan Mariam Wan Muda. "Simulation and Modelling of Electricity Usage Control and Monitoring System using ThingSpeak." Baghdad Science Journal 18, no. 2(Suppl.) (2021): 0907. http://dx.doi.org/10.21123/bsj.2021.18.2(suppl.).0907.

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Renewable energy technology is growing fast especially photovoltaic (PV) system to move the conventional electricity generation and distribution towards smart grid. However, similar to monthly electricity bill, the PV energy producers can only monitor their energy PV generation once a month. Any malfuntion in PV system components may reduce the performance of the system without notice. Thus, developing a real-time monitoring system of PV production is very crucial for early detection. In addition, electricity consumption is also important to be monitored more frequently to increase energy savi

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19

Safwan, Muhammad, Muhammad Yasir Zaheen, M. Anwar Ahmed, Muhammad Shujaat Kamal, and Raj Kumar. "3 Bio-Mimetic Vision System For Autonomous Mobile Robot Navigation." Sir Syed Research Journal of Engineering & Technology 1, no. 1 (2013): 4. http://dx.doi.org/10.33317/ssurj.v1i1.63.

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Bio-Mimetic Vision System (BMVS) for AutonomousMobile Robot Navigation encompasses three major fields, namelyrobotics, navigation and obstacle avoidance. Bio-mimetic vision isbased on stereo vision. Summation of Absolute Difference (SAD)is applied on the images from the two cameras and disparity mapis generated which is then used to navigate and avoid obstacles.Camera calibration and SAD is applied on Matlab software.AT89C52 microcontroller, along with Matlab, is used to efficientlycontrol the DC motors mounted on the robot frame. It is observedfrom experimental results that the developed syst

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20

Yang, Yi Huai. "Visual Simulation of Mobile Channel Model." Applied Mechanics and Materials 246-247 (December 2012): 1209–13. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.1209.

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Simulink is the integrated environment of system modelling and simulation, which is being widespread used. This paper describes the MATLAB visual simulation of the propagation path loss model for telecommunication systems. We simulated the whole process of COST231-Walfisch-Ikegami model with high accuracy, built a visual simulation frame and the path loss curves are given. This method can be used in studying other propagation path loss models in propagation environments.

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21

Agarwal, Kunal. "A Proportional-Integral-Derivative Control Scheme of Mobile Robotic platforms using MATLAB." IOSR Journal of Electrical and Electronics Engineering 7, no. 6 (2013): 32–39. http://dx.doi.org/10.9790/1676-0763239.

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22

Fernando, A., and L. GanLim. "Velocity analysis of a six wheel modular mobile robot using MATLAB-Simulink." IOP Conference Series: Materials Science and Engineering 1109, no. 1 (2021): 012037. http://dx.doi.org/10.1088/1757-899x/1109/1/012037.

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23

Wei, Jing Xin. "On Matlab’s Simulations in Underground Mobile Multipath Channel." Advanced Materials Research 989-994 (July 2014): 3960–62. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3960.

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In underground channel environment, features of wireless mobile channel and channel modeling are discussed, and methods of calculating wireless channel model parameters by adopting even-interval tapped delay wire model are proposed. On this basis, Matlab simulation are carred out, whose results serve as theoretical foundation and criterion for further study of underground wireless communication system.

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24

Khairudin, M., R. Refalda, S. Yatmono, H. S. Pramono, A. K. Triatmaja, and A. Shah. "The Mobile Robot Control in Obstacle Avoidance Using Fuzzy Logic Controller." Indonesian Journal of Science and Technology 5, no. 3 (2020): 334–51. http://dx.doi.org/10.17509/ijost.v5i3.24889.

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A very challenging problem in mobile robot systems is mostly in obstacle avoidance strategies. This study aims to describe how the obstacle avoidance system on mobile robots works. This system is designed automatically using fuzzy logic control (FLC) developed using Matlab to help the mobile robots to avoid a head-on collision. The FLC designs were simulated on the mobile robot system. The simulation was conducted by comparing FLC performance to the proportional integral derivative (PID) controller. The simulation results indicate that FLC works better with lower settling time performance. To

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25

Zhao, Ya Hong, Yan Jin Hao, and Lu Yang Ren. "Research for Visualization of Mining Subsidence Prediction Based on Matlab." Applied Mechanics and Materials 90-93 (September 2011): 3222–26. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.3222.

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In this paper, a program is developed based on Matlab, in which subsidence value of any shape face of a single point, and multi-points were calculated, generated five mobile deformation curve was displayed, two-dimensional subsidence and three-dimensional visualization to display and data query functions were realized and verified through 2 examples. The results of the program can be intuitionistic and scientific basis for future damage caused by underground mining.

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26

Kuo, Po Yu, and Gan Zhi Fan. "Analysis and Implementation of Rayleigh Fading Channel Using MATLAB." Applied Mechanics and Materials 764-765 (May 2015): 476–80. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.476.

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Mobile wireless communication is the fastest growing segment of the communication industry. However, it is faced with the challenge of providing reliable high-speed communications due to channel impediments which change over time in unpredictable ways. To analyze the reliability and performance of real communication system, the Rayleigh fading channel is generally applied to simulate the real wireless communication. In this paper, we analyze and implement a flat Rayleigh fading channel based on the inverse discrete Fourier transform (IDFT). The simulation results of level crossing rate (LCR) a

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27

Mostafa, Wessam, Eman Mohamed, and Abdelhalim Zekry. "Software implementation of LTE-advanced using Matlab Simulink." International Journal of Engineering & Technology 6, no. 4 (2017): 116. http://dx.doi.org/10.14419/ijet.v6i4.7876.

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Long Term Evolution Advanced (LTE-A) is the evolution of the LTE that developed by 3rd Generation Partnership Project (3GPP).LTE-A exceeded International Telecommunication Union (ITU) requirements for 4th Generation (4G) known as International Mobile Telecommunications (IMT-Advanced). It is formally introduced in October 2009. This paper presents a study and an implementation of the LTE-A downlink physical layer based on 3GPP release 10 standards using Matlab simulink. In addition, it provides the LTE-A performance in terms of Bit Error Rate (BER) against Signal to Noise Ratio (SNR) for differ

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28

Widhiada, I. Wayan, C. G. Indra Partha, and Yuda A. P. Wayan Reza. "Simulation of a Differential-Drive Wheeled Mobile Lego Robot Mindstorms NXT." Applied Mechanics and Materials 776 (July 2015): 319–24. http://dx.doi.org/10.4028/www.scientific.net/amm.776.319.

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The aim of this paper is to model and simulate kinematics motion using the differential drive model of a mobile Lego robot Mindstorm NXT. The author’s use integrated two software as a method to solve the simulation of mobile lego robot mindstorms NXT using Matlab/Simulink and Solidworks software. These softwares are enable easier 3D model creation for both simulation and hardware implementation. A fundamental of this work is the use of Matlab/Simulink Toolboxes to support the simulation and understanding of the various kinematics systems and in particular how the SimMechanics toolbox is used t

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29

Zhao, Jing. "Study on the Design of Mobile Digital Library Based on 3G Mobile Internet Technology." Advanced Materials Research 989-994 (July 2014): 4608–11. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4608.

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We use hierarchical data mining to compress the mobile communication data, which improves data transmission rate of 3G mobile internet. Based on this, combining the advantages of VC and MATLAB, we design the digital library architecture of 3G mobile internet model. This model has the functions of inquiry, backstage management, and mobile data optimization and so on. In order to verify the effectiveness and reliability of the model, we use network testing of small digital library as an example to test the library query function with mobile phone. By using the Android test terminal we get the li

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30

Sun, Li Hua, Cui Cui Huang, and Liang Jun Yu. "Mobile Communication Inter-Symbol Crosstalk Cancellation Based on Calman Digital Equalizer Filter." Applied Mechanics and Materials 716-717 (December 2014): 1262–66. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1262.

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In the digital mobile communication signal transmission system, the inter-symbol interference is one of the main factors affecting the performance. In order to make the error rate reducing to a minimum, this paper designs a new Calman digital equalization filter. It is based on Calman filter principle, and establishes the control mathematical model of observation equation and state equation, and uses MATLAB programming to realize the algorithm. In order to verify the effectiveness and reliability of this filter, this paper uses filter toolbox of MATAB to do numerical simulation on the filterin

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31

Yu, Liang Jun, Li Hua Sun, and Cui Cui Huang. "Simulation Design on Kalman Filter with Mobile and No-Intersymbol Interference System Based on MATLAB." Applied Mechanics and Materials 716-717 (December 2014): 1267–71. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1267.

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Intersymbol Interference (ISI) problem is one of the main factors affecting the baseband transmission performance of mobile communication’s digital signal which can not only reduce the transmission quality of the information but also can result in misinformation and false pass of information and provide troubles to the user and communications. In order to minimize the error rate, we propose a new digital equalization filter and establish the basic model of the digital filter and introduce non-linear Kalman observation equation and the state equation into the model and design partial differenti

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32

Tian, Ying, Ling Yu Sun, Ming Lu Zhang, and Man Hong Li. "Fuzzy PID Control Mobile Manipulator with Passive Suspension." Applied Mechanics and Materials 490-491 (January 2014): 920–24. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.920.

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As researched suspension mobile manipulator system,its control method was discussed. Based on vector method any point on this mobile manipulator system can be described, then independent coordinate variables can be chosen and dynamic model of the whole system was built by Lagrange equation. Based on dynamic model, fuzzy PID control model was built by fuzzy concept. Comparing simulation result of level velocity of point in mobile under no-feedback, PID control and fuzzy PID control, it was proved that MATLAB, this method can be more effective on the mobile manipulator system.

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33

Goncharov, Valery, Ilya O. Ilyin, and Andrey Kudryavtsev. "Hardware Implementation Tasks to Configure Regulators." Advanced Materials Research 945-949 (June 2014): 2611–16. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2611.

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The authors consider the problem of configuring regulators. This paper describes the selection of instrumental tools to create a mobile device, based on the real interpolation method, enabling to configure regulators without the use of mathematical software packages like Matlab or Mathcad. Also described are advantages and disadvantages of selecting hardware and software part for the mobile devise:

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34

Luo, Mingfeng. "Matlab-Realized Visual A* Path Planning Teaching Platform." International Journal of Emerging Technologies in Learning (iJET) 13, no. 10 (2018): 196. http://dx.doi.org/10.3991/ijet.v13i10.9463.

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Path planning in the global known environment is one of the main prob-lems in the field of mobile robots. Based on the characteristics of A* search method, this paper designs a simulation platform which is visible during the op-eration process to achieve graphicalization of the A* algorithm search process. The simulation platform is implemented by Matlab GUI method, which provides multi-parameter setting function, and outputs the specific traversal process of the planning method in the search space into the RGB space. The results of applying simulation platform to the teaching environment show

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35

Mohd Bakri, Nur Azieda, Syed Abdul Mutalib Al Junid, Abdul Hadi Abdul Razak, Mohd Faizul Md Idros, and Abdul Karimi Halim. "Mobile Carbon Monoxide Monitoring System Based on Arduino-Matlab for Environmental Monitoring Application." IOP Conference Series: Materials Science and Engineering 99 (November 19, 2015): 012009. http://dx.doi.org/10.1088/1757-899x/99/1/012009.

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36

Raskatov, Vadim D., and Vasily I. Rubtsov. "Computer Simulation of a Group of Mobile Robots in Special Software Tools." ITM Web of Conferences 35 (2020): 04017. http://dx.doi.org/10.1051/itmconf/20203504017.

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The problem of controlling a group of special robots for application in the high-risk conditions (for example, for fire extinguishing, search for hazardous substances, or elimination of consequences of emergencies) is solved. According to the task, robots operate in the industrial and urban environment, i.e., the movement of robots is planar. Various strategies of group interaction between robots are analyzed; a literature review is conducted. Due to the task specifics, a decentralized management strategy has been selected. For solving the problem, a movement algorithm of a group of mobile rob

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37

An, Qiao Jing, Chang Qing Zhu, Zhi Feng Gu, and Chuan Chuan Wang. "Research on the Response of Excitation System to the Different Load of Synchronous Generator." Advanced Materials Research 482-484 (February 2012): 1754–58. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.1754.

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In this paper the process of transient analysis of synchronous generator is analyzed when the load is switched. After the load changed, the excitation response curve of mobile station is obtained via matlab simulation, which provides a theoretical basis for excitation control of the mobile station, then can be helpful for optimizing the motor running and the design of motor protection.

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38

Sang, Shengju, Zhao Jichao, Hao Wu, Shoujun Chen, and Qi An. "Modeling and simulation of a spherical mobile robot." Computer Science and Information Systems 7, no. 1 (2010): 51–62. http://dx.doi.org/10.2298/csis1001051s.

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Spherical mobile robot (SMR) has been studied analytically and experimentally in this paper, a novel design with an internal propulsion mechanism and mathematical models of the robot's dynamics and kinematics are introduced. A 3D model of robot is built by SOLIDWORKS and then exported to ADAMS2007 for simulation. The results of simulation by combining MATLAB/SIMULINK with ADAMS are presented. It is shown experimentally that the behavior of actual model consist well with the prediction of simulation.

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Cai, Li, and Jian Ping Jia. "Wheeled Robot Path Tracking Study Based on IMM Algorithm." Advanced Materials Research 1037 (October 2014): 228–31. http://dx.doi.org/10.4028/www.scientific.net/amr.1037.228.

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This paper proposes a wheeled robot design based on IMM algorithm , aiming at how to achieve the optimization of path planning. Obstacle detecting and avoidance method for mobile robot are implemented with the photoelectric sensors. Then IMM algorithm for path planning is introduced and the simulation results in the MATLAB software show that the method of introducing IMM into mobile robot is convenient. By this means, the path planning is well optimized in real-time way for wheeled mobile robot.

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Liu, Yang. "Research on Autonomous Obstacle Avoidance of Mobile Robot Based on Hybrid System." Applied Mechanics and Materials 738-739 (March 2015): 1012–17. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.1012.

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The working environment of mobile robot has become more and more complex. Through researching on hybrid system, this paper presents a system of autonomous obstacle avoidance for mobile robot. A series of autonomous navigation behaviors is designed individually. By using hybrid automata, these designed autonomous navigation behaviors fuse together in the autonomous obstacle avoidance system. The Matlab simulation shows that the whole system is effective and feasible.

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41

Hameedah Sahib Hasan. "A* Algorithm for Shortest Path in Robot Motion." Science Proceedings Series 3, no. 1 (2021): 27–30. http://dx.doi.org/10.31580/sps.v3i1.1928.

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Mobile robot motion in real-time has many challenges in terms of reaching the exact destination and avoid obstacles. In this work, A * algorithm has been selected to show the robot motion in simulation through Matlab software. Different destinations are selected with several obstacles. A * algorithm shows the ability to achieve the shortest path distance for mobile robot motion as well to avoid different obstacles. Thus, the A * algorithm can be an attractive choice to achieve the best shortest path distance for Mobile robot motion.

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42

Ramkumar, E., T. Guna, S. M. Dharshan, and V. S. Ashok Ramanan. "Implementing Facial Recognition by Interfacing MATLAB Along with Arduino." International Journal of Innovative Technology and Exploring Engineering 10, no. 4 (2021): 66–71. http://dx.doi.org/10.35940/ijitee.d8478.0210421.

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Facial recognition has become one of the recent trends in attracting abundant attention within the society of social media network. The face is flat and therefore needs plenty of mathematical computations. Facial knowledge has become one in every of the foremost necessary biometric, we tend to witness it from the day-to-day gadgets like mobile phones. Every transportable electronic device currently being discharged includes a camera embedded in it. Network access management via face recognition not solely makes hackers just about not possible to steal one's "password", however conjointly will

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Zhang, Kai, Ruizhen Gao, and Jingjun Zhang. "Research on Trajectory Tracking and Obstacle Avoidance of Nonholonomic Mobile Robots in a Dynamic Environment." Robotics 9, no. 3 (2020): 74. http://dx.doi.org/10.3390/robotics9030074.

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This paper presents an obstacle-avoidance trajectory tracking method based on a nonlinear model prediction, with a dynamic environment considered in the trajectory tracking of nonholonomic mobile robots for obstacle avoidance. In this method, collision avoidance is embedded into the trajectory tracking control problem as a nonlinear constraint of the position state, which changes with time to solve the obstacle-avoidance problem in dynamic environments. The CasADi toolkit was used in MATLAB to generate a real-time, efficient C++ code with inequality constraints to avoid collisions. Trajectory

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Bendaoud, Kaoutar, Salah ddine Krit, Jalal Laassiri, and Lahoucine El Maimouni. "Modelling and simulation DC-DC power converter buck for mobile applications using MATLAB/Simulink." International Journal of Intelligent Enterprise 4, no. 1/2 (2017): 76. http://dx.doi.org/10.1504/ijie.2017.087004.

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Bendaoud, Kaoutar, Jalal Laassiri, Lahoucine El Maimouni, and Salah ddine Krit. "Modelling and simulation DC-DC power converter buck for mobile applications using MATLAB/Simulink." International Journal of Intelligent Enterprise 4, no. 1/2 (2017): 76. http://dx.doi.org/10.1504/ijie.2017.10008143.

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Venkata Srinu, M., Venkateswara Rao Morla, Kali Vara Prasad Baditha, Vara Kumari. S, and Srinivas Maddimsetti. "License Plate Recognition System Using Matlab GUI For Surveillance." International Journal of Engineering & Technology 7, no. 2.7 (2018): 1008. http://dx.doi.org/10.14419/ijet.v7i2.7.11676.

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License plate recognition is an essential task in applications like urban vehicle management, intelligent transportation system, traffic surveillance and parking management system. In this work, we acquire the images using the mobile app and recognize license plate details with the help of our proposed image processing model. The recognized license plate details have been displayed on a customized website. The proposed image processing model does the adaptive thresholding on the images with resolution of 1280× 960. The connected component analysis using bounding boxes will be performed on thre

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Suwoyo, Heru, Yingzhong Tian, and Muhammad Hafizd Ibnu Hajar. "AN FLC-PSO ALGORITHM-CONTROLLED MOBILE ROBOT." SINERGI 24, no. 3 (2020): 177. http://dx.doi.org/10.22441/sinergi.2020.3.002.

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The ineffectiveness of the wall-following robot (WFR) performance indicated by its surging movement has been a concerning issue. The use of a Fuzzy Logic Controller (FLC) has been considered to be an option to mitigate this problem. However, the determination of the membership function of the input value precisely adds to this problem. For this reason, a particular manner is recommended to improve the performance of FLC. This paper describes an optimization method, Particle Swarm Optimization (PSO), used to automatically determinate and arrange the FLC’s input membership function. The proposed

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Yun, Soh Chin, S. Parasuraman, Velappa Ganapathy, and Halim Kusuma Joe. "Neural Q-Learning Based Mobile Robot Navigation." Advanced Materials Research 433-440 (January 2012): 721–26. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.721.

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This research is focused on the integration of multi-layer Artificial Neural Network (ANN) and Q-Learning to perform online learning control. In the first learning phase, the agent explores the unknown surroundings and gathers state-action information through the unsupervised Q-Learning algorithm. Second training process involves ANN which utilizes the state-action information gathered in the earlier phase of training samples. During final application of the controller, Q-Learning would be used as primary navigating tool whereas the trained Neural Network will be employed when approximation is

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Mahadhir, Khairul Azmi, Cheng Yee Low, Hizzul Hamli, Ahmed Jaffar, Elwan Salleh, and M. Saiful Bahari. "Stair Climbing of a Track-Driven Mobile Robot with Flipper Arm." Applied Mechanics and Materials 393 (September 2013): 586–91. http://dx.doi.org/10.4028/www.scientific.net/amm.393.586.

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On both natural and manmade terrains, the maneuverability of mobile robots has been improving. Nevertheless, stair climbing remains a challenging functionality for mobile robots. In this paper, a step-by-step stair climbing approach is proposed for a track-driven mobile robot equipped with flipper arms. The flipper arms are actuated by DC motors controlled by PID controller. Potentiometers and rotary encoders are used to provide closed loop feedbacks. Executable codes are generated using Real-Time Workshop of MATLAB/Simulink. The reference angles to be followed by the flipper arm in stair clim

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Liang, Tyng-Yeu, and You-Jie Li. "A Mobile Cloud Computing System for Mathematical Computation." International Journal of Grid and High Performance Computing 7, no. 3 (2015): 36–53. http://dx.doi.org/10.4018/ijghpc.2015070103.

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This paper is aimed at proposing a mobile cloud computing system called M2C (Mobile Math Cloud). This system provides users with an APP to accelerate the execution of MATLAB instructions and scripts on their Android-based mobile devices by taking advantage of diverse processors including CPUs and GPUs available in clouds. On the other hand, it supports time-sharing license management to reduce the user time of waiting system services and increase the resource utilization of clouds. Moreover, it supports parallel computing and optimal resource configurations for maximizing the performance of us

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