Robot Learning: Basic Principles

by Shahnaz Mahto, Pranav Chandra, Chiranjeev Badami

ISBN: 9789371700603
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Imprint : Agri Horti Press
Year : 2026
Price : Rs. 19990.00
Biblio : 180p., tbls., figs., ind., 25cm.,

About The Book

• Introduction to robot learning as a field of study in robotics and artificial intelligence • Overview of basic principles underlying robot learning algorithms and methodologies • Explanation of the concept of machine learning and its application to robotic systems • Exploration of various learning paradigms, such as supervised, unsupervised, and reinforcement learning, in the context of robots • Discussion of key challenges and considerations in robot learning, including data collection, generalization, and adaptation to new environments • Consideration of real-world applications and implications of robot learning in areas such as autonomous navigation, manipulation, and human-robot interaction.

Table of Contents

Preface v 1. Robot Learning using Learning Classifier Systems Approach 1 2. Combining and Comparing Multiple Algorithms for Better Learning and Classification: 17 3. Robot Learning of Domain Specific Knowledge from Natural Language Sources 59 4. Uncertainty in Reinforcement Learning — Awareness, Quantisation, and Control 81 5. Anticipatory Mechanisms of Human Sensory- Motor Coordination Inspire Control of Adaptive Robots: A Brief Review 107 6. Reinforcement-based Robotic Memory Controller 119 7. Towards Robotic Manipulator Grammatical Control 135 8. Multi-Robot Systems Control Implementation 155 Index 167