Robot Learning

Suraiya Jabin

• Publisher: IntechOpen
• Year: 2010
• Print ISBN: 9789533071046
• eBook ISBN: 9789535159605
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Robot Learning is intended for one term advanced Machine Learning courses taken by students from different computer science research disciplines. This text has all the features of a renowned best selling text. It gives a focused introduction to the primary themes in a Robot learning course and demonstrates the relevance and practicality of various Machine Learning algorithms to a wide variety of real-world applications from evolutionary techniques to reinforcement learning, classification, control, uncertainty and many other important fields.Salient features:- Comprehensive coverage of Evolutionary Techniques, Reinforcement Learning and Uncertainty.- Precise mathematical language used without excessive formalism and abstraction.- Included applications demonstrate the utility of the subject in terms of real-world problems.- A separate chapter on Anticipatory-mechanisms-of-human-sensory-motor-coordination and biped locomotion.- Collection of most recent research on Robot Learning.

Table of contents

• Robot Learning
• Contents
• Preface
• Chapter 1 Robot Learning using Learning Classifier Systems Approach
• Chapter 2 Combining and Comparing Multiple Algorithms for Better Learning and Classification: A Case Study of MARF
• Chapter 3 Robot Learning of Domain Specific Knowledge from Natural Language Sources
• Chapter 4 Uncertainty in Reinforcement Learning — Awareness, Quantisation, and Control
• Chapter 5 Anticipatory Mechanisms of Human Sensory-Motor Coordination Inspire Control of Adaptive Robots: A Brief Review
• Chapter 6 Reinforcement-based Robotic Memory Controller
• Chapter 7 Towards Robotic Manipulator Grammatical Control
• Chapter 8 Multi-Robot Systems Control Implementation