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Intelligent Machines: How AI is Revolutionizing Robotics

Intelligent Machines: How AI is  Revolutionizing Robotics

Explore the Future of AI-Powered Robotics

Discover how Artificial Intelligence is transforming robots into intelligent machines capable of learning, seeing, communicating, navigating, and making decisions. Explore Machine Learning, Computer Vision, NLP, Deep Learning, autonomous systems, smart factories, healthcare robots, drones, humanoids, agricultural robotics, ethics, and future trends.

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About the Book

Intelligent Machines: How AI is Revolutionizing Robotics — Unveiling the Future of Smart Automation

Artificial Intelligence and Robotics are transforming the way machines perceive their surroundings, make decisions, interact with humans, and perform increasingly complex tasks. From smart factories and autonomous vehicles to healthcare robots, agricultural machines, drones, and humanoid robots, the combination of AI and robotics is creating a new generation of intelligent machines.

“Intelligent Machines: How AI is Revolutionizing Robotics” provides a structured introduction to this rapidly evolving field and explains how Artificial Intelligence is enabling robots to become more autonomous, adaptive, and capable.

The book begins with the fundamentals of Artificial Intelligence and Robotics, helping readers understand what intelligent machines are, how robots work, and why AI has become an important component of modern robotic systems. It then explores the technologies that allow robots to learn, perceive, communicate, and make decisions.

Readers are introduced to Machine Learning, Computer Vision, Natural Language Processing, Neural Networks, Deep Learning, and Reinforcement Learning, with explanations of how these technologies are applied to real robotic systems. Concepts such as training robots through data, object recognition, visual SLAM, voice interaction, autonomous navigation, and decision-making are explored in an accessible manner.

The book then moves from technology to real-world applications. It examines the use of AI-driven robotics in:

  • Industrial manufacturing and smart factories
  • Healthcare and surgical applications
  • Domestic and companion robotics
  • Food and hospitality services
  • Autonomous vehicles
  • Drones and aerial robotics
  • Humanoid and social robots
  • Precision agriculture
  • Environmental monitoring
  • Sustainability and resource management

Real-world examples and case studies are used to connect theoretical concepts with practical applications, helping readers understand how intelligent machines are being developed and deployed across different sectors.

The book also addresses an equally important aspect of robotics: challenges, ethics, and social impact. Topics such as hardware limitations, energy efficiency, IoT and edge computing, employment and economic impact, human control, robot rights, and data privacy are examined to encourage readers to think critically about the development and use of intelligent machines.

The final chapters explore emerging directions including collaborative robots (cobots), swarm intelligence, and human-robot symbiosis, providing readers with a perspective on how the relationship between humans and intelligent machines may evolve.

Written in a clear and student-friendly style, this book is suitable for Computer Science, IT, Engineering, AI, Robotics, and technology students, as well as educators, beginners, researchers, and technology enthusiasts who want to understand the fundamentals and applications of AI-powered robotics.

Whether you are beginning your journey into Artificial Intelligence and Robotics or looking to understand how these technologies are shaping modern automation, this book provides a structured foundation for exploring the world of intelligent machines.

Author

About the Author

Anshuman Mishra

Anshuman Kumar Mishra, M.Tech (Computer Science) Assistant Professor, Doranda College, Ranchi University

Prolific Author of 50+ Books on AI, Machine Learning & Computer Science | 20+ Years Experience

Anshuman Kumar Mishra is a dedicated educator, researcher, and highly prolific author with over 20 years of experience in Computer Science and Information Technology. Holding an M.Tech in Computer Science from BIT Mesra, he brings a rare combination of academic depth and practical teaching expertise.

Currently serving as Assistant Professor at Doranda College under Ranchi University, he has mentored thousands of students, helping them build strong foundations in programming, data science, and artificial intelligence. His student-centric teaching style emphasizes conceptual clarity, hands-on practice, and real-world application.

Anshuman is a prolific author with more than 50 books published across a wide spectrum of computer science and emerging technology domains. From foundational programming languages to advanced topics in Artificial Intelligence, Machine Learning, Reinforcement Learning, Decision Theory, and Computer Vision — his books are widely appreciated by students, educators, and professionals for their clear explanations, strong theoretical foundation, and practical approach.

His extensive body of work reflects his deep commitment to making complex subjects accessible and meaningful for learners at all levels. He is particularly recognized for creating well-structured learning paths that help readers progress from beginner to advanced levels with confidence.

Driven by the mission to democratize quality technical education, Anshuman continues to write and update books that bridge the gap between academic theory and industry practice.

When not teaching or writing, he actively follows and explores new developments in AI, Quantum Machine Learning, and Ethical Intelligence systems.

Contents

Table of Contents

📘 Intelligent Machines: How AI is Revolutionizing Robotics — Unveiling the Future of Smart Automation 📚 Table of Contents Preface i-iv • P.1 Why This Book? • P.2 Target Audience • P.3 How to Use This Book Part I: Foundations of AI in Robotics Chapter 1: Introduction to Artificial Intelligence 1-27 1.1 What is AI? 1.2 Historical Background 1.3 Types of AI: Narrow, General, and Superintelligent AI 1.4 AI vs. Automation F | P a g e Chapter 2: Introduction to Robotics 28-42 2.1 What is a Robot? 2.2 Types of Robots 2.3 Sensors, Actuators, and Control Systems 2.4 Human-Robot Interaction (HRI) Chapter 3: The Intersection of AI and Robotics 43-55 3.1 How AI Powers Robots 3.2 Importance of AI in Modern Robotics 3.3 Case Study: AI-Powered Autonomous Vacuum Cleaner Part II: Core Technologies Behind AI-Driven Robotics Chapter 4: Machine Learning in Robotics 56-68 4.1 Supervised, Unsupervised, and Reinforcement Learning 4.2 Training Robots through Data 4.3 Example: Learning to Pick and Place Chapter 5: Computer Vision for Robots 69-82 5.1 Image Processing and Object Recognition 5.2 Visual SLAM (Simultaneous Localization and Mapping) 5.3 Facial Recognition and Gesture Control Chapter 6: Natural Language Processing (NLP) 83-91 6.1 Enabling Robots to Understand and Speak 6.2 Voice Assistants and Chatbots in Robots 6.3 Case Study: Pepper Robot in Customer Service Chapter 7: Neural Networks and Deep Learning 92-105 G | P a g e 7.1 CNNs for Vision 7.2 RNNs for Sequential Tasks 7.3 Robotics Applications Chapter 8: Reinforcement Learning and Decision Making 106-116 8.1 Trial-and-Error Learning 8.2 Markov Decision Processes 8.3 Autonomous Navigation and Planning Part III: Applications of AI in Robotics Chapter 9: Industrial Robotics 117-133 9.1 Smart Factories 9.2 Predictive Maintenance and Quality Control 9.3 Case studY: tesla’s ManufaCturing line Chapter 10: Service Robotics 134-148 10.1 Healthcare and Surgical Robots 10.2 Domestic and Companion Robots 10.3 Food and Hospitality Sector Applications Chapter 11: Autonomous Vehicles and Drones 149-168 11.1 Self-Driving Cars 11.2 Delivery Drones and Aerial Robots 11.3 Ethical and Legal Implications Chapter 12: Humanoid and Social Robots 169-185 12.1 AI in Emotional Recognition 12.2 Robotic Ethics and Empathy Simulation 12.3 Case Study: Sophia the Robot Chapter 13: Agricultural and Environmental Robotics 186-201 H | P a g e 13.1 Precision Farming 13.2 Climate Monitoring and Forest Management 13.3 Robotics for Sustainability Part IV: Challenges, Ethics, and Future of AI in Robotics Chapter 14: Challenges in AI-Based Robotics 202-218 14.1 Hardware Constraints 14.2 Energy Efficiency 14.3 Integration with IoT and Edge Computing Chapter 15: Ethical and Social Implications 219-235 15.1 Job Displacement and Economic Impact 15.2 Robot Rights and Human Control 15.3 Data Privacy in Robotics Chapter 16: Future Trends in AI and Robotics 236-257 16.1 Collaborative Robots (Cobots) 16.2 Swarm Intelligence 16.3 Human-Robot Symbiosis

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