Performance of two neuro controllers for robot path planning control

In this paper, two neuro-controllers utilizing the backpropagation algorithm are investigated for robot path tracking performance: inverse neuro-controller and neuro-emulator neuro-controller schemes. For a given task of moving a robot from a rest position to a final specified position in a minimum-...

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Bibliographic Details
Main Authors: Amin, Shamsudin H. M. (Author), Ahtiwash, O.M (Author)
Format: Article
Language:English
Published: 1996-08-05.
Subjects:
Online Access:Get fulltext
LEADER 01018 am a22001453u 4500
001 1979
042 |a dc 
100 1 0 |a Amin, Shamsudin H. M.  |e author 
700 1 0 |a Ahtiwash, O.M.  |e author 
245 0 0 |a Performance of two neuro controllers for robot path planning control 
260 |c 1996-08-05. 
856 |z Get fulltext  |u http://eprints.utm.my/id/eprint/1979/1/Amin1996_PerformanceOfTwoNeuroControllersFor.pdf 
520 |a In this paper, two neuro-controllers utilizing the backpropagation algorithm are investigated for robot path tracking performance: inverse neuro-controller and neuro-emulator neuro-controller schemes. For a given task of moving a robot from a rest position to a final specified position in a minimum-time, the resulting position and velocity profiles for the investigated neuro-control models showed that, the manipulator could be moved smoothly and accurately. The tracking performance and accuracy are investigated and compared 
546 |a en 
650 0 4 |a TK Electrical engineering. Electronics Nuclear engineering