KSU-IMR Mobile Robot Navigation Maps Building and Learning

Ebrahim Mattar; K. Al Mutib; M. AlSulaiman; Hedjar Ramdane

doi:10.4028/www.scientific.net/AMM.789-790.717

Paper Titles

Intelligent Control System Design for a Teleoperated Endoscopic Surgical Robot
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Mathematical Model Based Attitude Control of Inverted Pendulum Type Mobile Robot
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Design Guidelines for an Embedded Permanent Magnetic Matrix Wheel Climbing Robot
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Increase the Space Trajectory Precision by Using the Proper Assisted Research Method for Inverse Kinematics Problem
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KSU-IMR Mobile Robot Navigation Maps Building and Learning
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Dynamic Optimization of a Three Translational Degrees of Freedom Parallel Robot Based on a Multi-Objective Genetic Algorithm
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Modeling and Control of a Robot Arm on a Two Wheeled Moving Platform
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Mars-500 Program Space-Based Mobile Robot “Turist”
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Modelling of the Human's Leg as a Switched Linear System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 789-790KSU-IMR Mobile Robot Navigation Maps Building and...

KSU-IMR Mobile Robot Navigation Maps Building and Learning

Abstract:

It is essential to learn a robot navigation environment. We describe research outcomes for KSU-IMR mapping and intelligence. This is for navigating and robot behavior learning. The mobile maps learning and intelligence was based on hybrid paradigms and AI functionaries. Intelligence was based on ANN-PCA for dimensionality reduction, and Neuro-Fuzzy architecture.