An Innovative Drive Train Design for Improved Dead Reckoning Accuracy in Automated Guided Vehicles

Author:

Muniandy Murelitharan1,Muthusamy Kanesan2

Affiliation:

1. Open University of Malaysia

2. Open University Malaysia

Abstract

The automated guided vehicle (AGV) is a key component for the successful implementation of flexible manufacturing systems (FMS). AGVs are wheeled mobile robots (WMR) employed for material handling in the constantly evolving layouts of these modern factory shop floors. As such their ability to navigate autonomously is an equally important aspect to sustain an efficient manufacturing process. However, their mobility efficiency is inherently affected by the unproductive systematic and non-systematic odometry errors. Odometry errors mainly occur due to the mobility configuration of the AGV drive train and the surface characteristics the robot is interacting with. Odometry error accumulates over the distance traveled and leads to severe dead reckoning inaccuracy if the robot’s feedback control mechanism is unable to correct the error fast. This paper proposes an innovative drive train mechanism called dual planetary drive (DPD) that will minimize odometry errors without the need for complex electronic feedback control systems

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference16 articles.

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2. Batlle, J.A. and Barjau, A. (2009). Holonomy in Mobile Robots. Robotics and Autonomous Systems, 57(4): 443-440. Elsevier B.V., Amsterdam.

3. Derdiyok, A., Soysal, B., Arslan, F., Ozoglu, Y. and Garip, M. (2005). An Adaptive Compensator for Vehicle Driven by DC Motors. Journal of Franklin Institute, 342(3): 273-283. Elsevier Ltd.

4. Muir, P.F. and Neuman, C.P. (1986). Kinematic Modeling of Wheeled Mobile Robots: CMU-RI-TR-86-12. The Robotic Institute, Carnegie-Mellon University, Pittsburgh.

5. Angeles, J. (2005). An Innovative Drive for Wheeled Mobile Robots. IEEE/ASME Transactions on Mechatronics, 10(1): 43-49.

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