The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2020
Session ID : 1A1-G10
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Development of control method of Mecanum AGV using Neural Network Console
Takao HORIE
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Abstract

In this study, the open source software Neural Network Console was used to control a Mecanum AGV with omnidirectional capability. First, we measured the location of the corridor using images and magnetic sensor values and obtained good results. Next, using the image information, magnetic sensor information, start and goal information as input, the AGV operation amount was learned. As a result, it was confirmed that the control value of AGV can be estimated directly from the input data.

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© 2020 The Japan Society of Mechanical Engineers
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