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Computational intelligent techniques in mechatronics

Prakash, Kolla Bhanu, editor.

Computational intelligent techniques in mechatronics

Prakash, Kolla Bhanu, editor.

9781394175437

9781394175420

1 online resource

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

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 in engineering and medical robotics over the past decade. It will lead to a major industrial revolution and affect research in every field of engineering. This book covers the basics of mechatronics, computational intelligence approaches, simulation and modeling concepts, architectures, nanotechnology, real-time monitoring and control, different actuators, and sensors. The book explains clearly and comprehensively the engineering design process at different stages. As the historical divisions between the various branches of engineering and computer science become less clearly defined, mechatronics may provide a roadmap for nontraditional engineering students studying within the traditional university structure. This book covers all the algorithms and techniques found in mechatronics engineering, well explained with real-time examples, especially lab experiments that will be very informative to students and scholars. Audience This resource is important for R & D departments in academia, government, and industry. It will appeal to mechanical engineers, electronics engineers, computer scientists, robotics engineers, professionals in manufacturing, automation and related industries, as well as innovators and entrepreneurs.

John Wiley and Sons

Mechatronics.

Artificial intelligence.

Machine learning.

Robotics.

Nanotechnology.

Mécatronique.

Intelligence artificielle.

Apprentissage automatique.

Robotique.

Nanotechnologie.

Prakash, Kolla Bhanu,

Peddapelli, Satish Kumar,

Tam, Ivan CK,

Woo, Wai Lok,

Jain, Vishal, 1983-

https://onlinelibrary.wiley.com/doi/book/10.1002/9781394175437