Slippage Estimation of a two wheeled Mobile Robot using Feedforward Deep Neural Network

2018-11-09
ICCAMMEN 2018, 1st International Conference on Advances in Mechanical and Mechatronics Engineering, (8 - 09 Kasım 2018)

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Mobile robot navigaiton is an important task for the operations of the mobile robots. Due to the wheel slippages, performance of the dead reckoning in estimating speed of the robot and the position of the robot is not sufficient. To overcome the errors in navigation estimates, usage of the recurrent deep neural networks is porposed. Neural networks are used to understand the behaviour of the linear and nonlinear systems. Since wheel-ground interaction will be modeled with non-linear models and the estimatin...
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Citation Formats
İ. Özçil, E. İ. Konukseven, and A. B. Koku, “Slippage Estimation of a two wheeled Mobile Robot using Feedforward Deep Neural Network,” presented at the ICCAMMEN 2018, 1st International Conference on Advances in Mechanical and Mechatronics Engineering, (8 - 09 Kasım 2018), Ankara, Türkiye, 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/85074.