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Computational intelligent techniques in mechatronics /

This book, set against the backdrop of huge advancements in artificial intelligence and machine learning within mechatronic systems, serves as a comprehensive guide to navigating the intricacies of mechatronics and harnessing its transformative potential. Mechatronics has been a revolutionary force...

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Bibliographic Details
Other Authors: Prakash, Kolla Bhanu (Editor), Peddapelli, Satish Kumar (Editor), Tam, Ivan CK (Editor), Woo, Wai Lok (Editor), Jain, Vishal, 1983- (Editor)
Format: eBook
Language:English
Published: Hoboken, New Jersey : Beverly, MA : John Wiley & Sons, Inc. ; Scrivener Publishing LLC, 2024.
Subjects:
Mechatronics.
Artificial intelligence.
Machine learning.
Robotics.
Nanotechnology.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Series Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 AI in Mechatronics
  • 1.1 Introduction to AI Techniques for Mechatronics
  • 1.1.1 Overview of Key AI Approaches
  • 1.1.2 Benefits of Integrating AI in Mechatronic Systems
  • 1.2 Machine Learning for Mechatronic Systems
  • 1.2.1 Supervised, Unsupervised, and Reinforcement Learning Techniques
  • 1.2.2 Applications in Control, Prediction, Optimization, and Diagnostics
  • 1.2.3 Case Studies of Machine Learning in Robotics, Vehicles, and Automation
  • 1.3 Computer Vision for Mechatronic Perception
  • 1.3.1 Image Processing and Computer Vision Techniques
  • 1.3.2 Enabling Environmental Perception and Scene Understanding
  • 1.3.3 Vision-Based Control, Inspection, and Monitoring
  • 1.4 Soft Computing Techniques
  • 1.4.1 Fuzzy Logic Systems for Knowledge Representation and Control
  • 1.4.2 Bio-Inspired Algorithms Like Neural Networks and Genetic Algorithms
  • 1.4.3 Hybrid Intelligent Systems
  • 1.5 AI Planning and Decision-Making
  • 1.5.1 Automated Planning Algorithms for Sequencing Actions
  • 1.5.2 Decision-Making Under Uncertainty
  • 1.5.3 Applications in Navigation, Manufacturing Automation, Etc.
  • 1.6 Natural Language Interaction
  • 1.6.1 Speech Recognition and Natural Language Processing
  • 1.6.2 Enabling Intuitive Human-Machine Interaction
  • 1.6.3 Use Cases in Service Robots, Intelligent Agents, Human-Robot Collaboration
  • 1.7 AI in Mechatronic System Design
  • 1.7.1 Simulation of AI-Based Controllers and Behaviors
  • 1.7.2 Tools for Virtual Prototyping of Intelligent Mechatronics
  • 1.7.3 AI-Driven Design Optimization
  • 1.8 Challenges and Future Outlook
  • 1.8.1 Current Limitations in Applying AI to Mechatronics
  • 1.8.2 Safety, Security, and Robustness Considerations
  • 1.8.3 Emerging Trends and Opportunities
  • 1.9 Artificial General Intelligence (AGI)
  • 1.9.1 AGI and Narrow AI
  • 1.9.2 Historical Development of AGI
  • 1.9.3 State of AGI in Mechatronics Today
  • 1.9.4 Future Possibilities
  • 1.10 Conclusion
  • 1.10.1 Insights Into AGI and Mechatronics Education
  • 1.10.2 Motivating Message
  • References
  • Chapter 2 Thermodynamics for Mechatronics
  • 2.1 Introduction
  • 2.2 Defining Mechatronics and Its Interdisciplinary Nature
  • 2.2.1 The Role of Thermodynamics in Engineering Innovation
  • 2.2.2 Significance of Integrating Thermodynamics in Mechatronics
  • 2.3 Fundamentals of Thermodynamics for Mechatronics
  • 2.3.1 Laws of Thermodynamics: Concepts and Implications
  • 2.3.2 Heat Transfer Mechanisms and Applications in Mechatronics
  • 2.3.3 Energy Conversion Principles and Efficiency Considerations
  • 2.4 Enhancing Efficiency in Mechatronics Through Thermodynamics
  • 2.4.1 Thermodynamics-Driven Design Optimization for Mechatronic Systems
  • 2.4.2 Thermal Management Strategies: Heat Dissipation and Regulation
  • 2.4.3 Energy Efficiency Techniques and Heat Recovery in Mechatronics