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Relevant bibliographies by topics / Matlab Mobile

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Journal articles

Academic literature on the topic 'Matlab Mobile'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Matlab Mobile"

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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6

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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8

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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