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Implementation of Robust Design in Automated Guided Vehicles


Author(s):

Shashi Bhushan Sankhyan , Pillai Hoc College of Engineering and Technology

Keywords:

Automated Guided Vehicles, Extended Kalman Filter (EKF), Industrial Robots, robustness, Sensor Fusion

Abstract:

This research paper focuses on the development of a robust and versatile industrial guidance system used to guide Automated Guided Vehicles (AGVs) for industrial purpose. Generally, most of wireless guidance systems follows path tracking and other navigation methods to follow a certain route. This paper focuses on how robustness is achieved and implemented in Automated guided vehicles (AGVs) so that they can perform with high accuracy, repeatability and reliability. Moreover not only high accuracy is required but proper navigation system should be implemented so that more accurate position estimates can be taken. Robustness of absolute positioning is also crucial in industrial applications. Two experiments are presented to verify the effectiveness of the developed industrial guidance system and better optimization of robust design in AGVs. Numerous complications in the movement and guidance of AGVs were encountered which will be discussed further therefore to overcome these obstacles one of the most successful methods had to be chosen. Various methods of functioning of AGV are considered and further one of the method is considered which is the laser navigation system was selected, the flaws in this system affecting the robustness were identified and above mentioned experiments were performed. Conclusions were derived and further solutions were provided to overcome the flaws detected in the AGV system for achieving maximum optimisation.


Other Details:

Manuscript Id :IJSTEV2I2074
Published in :Volume : 2, Issue : 2
Publication Date: 01/09/2015
Page(s): 180-185
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