Development of Artificial Intelligent Techniques for Manipulator Position Control
Inspired by works in soft computing this research applies the constituents of soft computing to act as the "brain" that controls the positioning process of a robot manipulator's tool. This work combines three methods in artificial intelligence: fuzzy rules, neural networks, and gen...
Main Author: | Bani Hashim, Ahmad Yusairi |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2002
|
Online Access: | http://psasir.upm.edu.my/id/eprint/10649/1/FK_2002_18.pdf |
Similar Items
-
Application of Soft Computing to Serial Manipulator Kinematic Problems
by: Bani Hashim, Ahmad Yusairi, et al.
Published: (2004) -
POSITION CONTROL FOR FLIXEBLE JOINT MANIPULATOR USING ARTIFICIAL NEURAL Network
by: Hussain Mahdi
Published: (2008-09-01) -
Positional-velocity control of the manipulator built on the basis of an intelligent mechatron module
by: Rakhimov Temurbek, et al.
Published: (2023-01-01) -
An Analysis for 2.4mm-2.4mm RF Connector Insertion Loss Measure From 45MHz Until 50GHz by Using Electronic Calibration Module and Mechanical Calibration kits in a Network Analyzer
by: Tan Ming hui, et al.
Published: (2016-01-01) -
Intelligent Controller for Robot Manipulator
by: Ivan I. G
Published: (2016-12-01)