A kinematical approach for robot manipulator using a segmented tree neural networks with randomization

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A kinematical approach for robot manipulator using a segmented tree neural networks with randomization

The approach of this paper is to deal with the problem of self and safe trajectory generation for a robot manipulator in an unstructured environment. To achieve this goal the segmented tree neural net for each link, and the randomization strategy with some cost function has been carefully presented...

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Bibliographic Details
Main Authors:	Baharin, Iskandar, Hasan, Md. Mahmud
Format:	Conference or Workshop Item
Subjects:	Neural networks Intelligent control systems Robots - Kinematics - Case studies
Online Access:	http://psasir.upm.edu.my/id/eprint/25638/

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