Combining a Rule-Based Expert System and Machine Learning in a Simulated Mobile Robot Control System.
K. FosterTim HendtlassPublished in: HIS (2003)
Keyphrases
- expert systems
- mobile robot
- control system
- machine learning
- knowledge acquisition
- fuzzy logic
- motion control
- knowledge engineering
- knowledge representation
- real environment
- knowledge based systems
- dynamic environments
- matlab simulink
- real robot
- autonomous robots
- knowledge base
- rule based systems
- path planning
- feature selection
- artificial intelligence
- mobile robot navigation
- knowledge based expert systems
- fault diagnosis
- learning algorithm
- computational intelligence
- learning systems
- obstacle avoidance
- machine learning methods
- dc motor
- indoor environments
- office environment
- pattern recognition
- data analysis
- rule based reasoning
- control law
- robotic systems
- closed loop
- text classification
- real time
- motion planning
- control strategy
- inference engine
- learning tasks
- machine learning approaches
- natural language processing
- text mining
- computer vision
- decision trees
- neural network
- autonomous navigation
- user interface
- active learning
- case based reasoning
- rule base
- membership functions