2018 4th International Conference on Green Technology and Sustainable Development (GTSD) 2018
DOI: 10.1109/gtsd.2018.8595504
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Using Fuzzy Logic Scheme for Automated Guided Vehicle To Track Following Path Under Various Load

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Cited by 17 publications
(6 citation statements)
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“…Gazebo simulator provides several extremely useful functionalities in order to launch features and properties similar to a real-life environment such that sensing devices consisting of digital Kinect sensor and laser scanner with real-time simulated data that observed in the testing area, physical characteristics of mobile robot and environment, that is, frictions or inertial moment. In the laboratory tests, the multifunctional autonomous robot (MAR) 36,37 is attached a digital camera Kinect and a laser scanner sensor. The powerful camera Kinect contains an infrared light projector, depth sensor, 640 × 480 pixels resolution of camera and a multi-array microphone.…”
Section: Results Of Studymentioning
confidence: 99%
“…Gazebo simulator provides several extremely useful functionalities in order to launch features and properties similar to a real-life environment such that sensing devices consisting of digital Kinect sensor and laser scanner with real-time simulated data that observed in the testing area, physical characteristics of mobile robot and environment, that is, frictions or inertial moment. In the laboratory tests, the multifunctional autonomous robot (MAR) 36,37 is attached a digital camera Kinect and a laser scanner sensor. The powerful camera Kinect contains an infrared light projector, depth sensor, 640 × 480 pixels resolution of camera and a multi-array microphone.…”
Section: Results Of Studymentioning
confidence: 99%
“…Ngo and Tran [110] implementing FL controller approach for AGV become autonomous to track following path under various load. The load and error are as parameter input and wheels left and right as parameter output declared in FL crisp input.…”
Section: A Fuzzy Logicmentioning
confidence: 99%
“…However, the starting point and initial orientation were found to have a significant impact on controller performance. Ngo and Tran [125] designed a fuzzy inference system to guide an autonomous vehicle under varying loads. The controller receives the tracking error and load as inputs and computes the speed for left and right wheels, the latter was subject to saturation.…”
Section: Fuzzy Logic Controlmentioning
confidence: 99%