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Adaptive Kinematic Control of Mobile Robot based on Neural Networks: Case Study: National Instruments Starter Kit 2 (DANI Robot) - Softcover
Inhaltsangabe
The applications of mobile robots have grown significantly during the last few years due to the fast development in sensors and microprocessors systems. These applications include material handling, hospital services, military applications … etc. The need for a precise motion control becomes very crucial in order to support such applications. The adaptive motion control for mobile robot is one of the important areas of research. The design of an adaptive kinematic controller for a nonholonomic differential drive mobile robot based on neural network topology is considered in this work, and work is divided into three stages. Firstly, to identify the inverse kinematics behavior of the differential drive mobile robot system, the Multi-Layer Perceptron neural network has been used. The second stage is the simulation test to check the robustness of the controller. The final stage is the practical work. A National Instrument differential drive mobile robot platform has been used which is perfectly compatible with the LabVIEW2011 software. The controller is implemented in LabVIEW2011 and then deployed to the mobile robot kit through a wireless communication.
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Reseña del editor
The applications of mobile robots have grown significantly during the last few years due to the fast development in sensors and microprocessors systems. These applications include material handling, hospital services, military applications ... etc. The need for a precise motion control becomes very crucial in order to support such applications. The adaptive motion control for mobile robot is one of the important areas of research. The design of an adaptive kinematic controller for a nonholonomic differential drive mobile robot based on neural network topology is considered in this work, and work is divided into three stages. Firstly, to identify the inverse kinematics behavior of the differential drive mobile robot system, the Multi-Layer Perceptron neural network has been used. The second stage is the simulation test to check the robustness of the controller. The final stage is the practical work. A National Instrument differential drive mobile robot platform has been used which is perfectly compatible with the LabVIEW2011 software. The controller is implemented in LabVIEW2011 and then deployed to the mobile robot kit through a wireless communication.
Biografía del autor
Zeyad Al-Shibaany obtained a Master degree in Mechatronics Engineering from Newcastle University-UK with Distinction, and awarded “The Best Master Student” prize. Currently, he is studying for PhD in Mechatronics Engineering, Newcastle University. He is working as lecturer in Control and Systems Engineering Dept, University of Technology in Iraq.
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Adaptive Kinematic Control of Mobile Robot based on Neural Networks
Verlag:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 365978771X
ISBN 13: 9783659787713
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Softcover
Anbieter: moluna, Greven, Deutschland
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Zustand: New. Artikel-Nr. 159145294
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Adaptive Kinematic Control of Mobile Robot based on Neural Networks
Verlag:
LAP LAMBERT Academic Publishing Nov 2015, 2015
ISBN 10: 365978771X
ISBN 13: 9783659787713
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -The applications of mobile robots have grown significantly during the last few years due to the fast development in sensors and microprocessors systems. These applications include material handling, hospital services, military applications ¿ etc. The need for a precise motion control becomes very crucial in order to support such applications. The adaptive motion control for mobile robot is one of the important areas of research. The design of an adaptive kinematic controller for a nonholonomic differential drive mobile robot based on neural network topology is considered in this work, and work is divided into three stages. Firstly, to identify the inverse kinematics behavior of the differential drive mobile robot system, the Multi-Layer Perceptron neural network has been used. The second stage is the simulation test to check the robustness of the controller. The final stage is the practical work. A National Instrument differential drive mobile robot platform has been used which is perfectly compatible with the LabVIEW2011 software. The controller is implemented in LabVIEW2011 and then deployed to the mobile robot kit through a wireless communication.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch. Artikel-Nr. 9783659787713
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