Parametric Studies on Motion Intensity Factors in a Robotic Welding Using Speech Recognition
The manufacturing strategies have been modernised and became autonomous by using robotic control and voice control system. Factors analysed for effectiveness of the present system for the application of welding. Pre operational setups, control variables for welding process are used in the motion of...
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Published in: | 2016 IEEE 6th International Conference on Advanced Computing (IACC) pp. 415 - 420 |
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Main Authors: | , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-02-2016
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Subjects: | |
Online Access: | Get full text |
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Summary: | The manufacturing strategies have been modernised and became autonomous by using robotic control and voice control system. Factors analysed for effectiveness of the present system for the application of welding. Pre operational setups, control variables for welding process are used in the motion of the robot. Robots are considerably complicated electromechanical system with mutual interactions of robot mechanics and drives. The parametric studies are performed for the motion of the welding robot. The virtual prototype modelling and optimization of a 6 DOF robot developed using solid works, MATLAB and simmechanics. The voice control technology is implemented for controlling robot. This paper presents the kinematic solution in simmechanics and modelling of complex mechatronic systems. Using similar robot prototype and it is possible to get the optimized controller for the actual robot. Speech recognition system is used starting and appear in standard software applications. The present problem is integration of graphical user interfaces with speech process. A prototypemodel developed for studying integration of speech dialogue into graphical interfaces designed to programming of industrial robot arms in this paper. The aim of the prototype is to develop a speech dialogue system for solving simple relocation tasks in a robot work cell using ABB IRB 1410 industrial robot arm. |
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DOI: | 10.1109/IACC.2016.83 |