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Q-Learning Algorithm for a Mobile Robot Obstacle Avoidance in an Unknown Environment Based on Artificial Neural Networks
(The Aristotle University of Thessaloniki, 2011)
In this paper neural network representation for the Q-learning algorithm of a mobile robot is presented. The property of adaptability in modern intelligent manufacturing environments is the significant advantage comparing ...
Towards Implementation of Intelligent Mobile Robots in a Manufacturing Environment
(The Aristotle University of Thessaloniki, 2011)
This paper presents experimental results of intelligent mobile robot implementation for material transport in a manufacturing environment. Conventional material transport solutions are based on Automated Guided Vehicles. ...
Automatic Feature Recognition System for Prismatic Parts Using STEP-Based Feature Extraction and ANN-Based Pattern Recognition
(The Aristotle University of Thessaloniki, 2011)
Feature technology is considered an essential tool for integrating design and manufacturing. Automatic feature recognition (AFR) has provided the greatest contribution to fully automated CAPP system development. After a ...