Editors: Santosh Das, Soumi Majumder, Nilanjan Dey

Robotics and Automation in Industry 4.0

eBook: US $39 Special Offer (PDF + Printed Copy): US $87
Printed Copy: US $67
Library License: US $156
ISBN: 978-981-5223-50-7 (Print)
ISBN: 978-981-5223-49-1 (Online)
Year of Publication: 2024
DOI: 10.2174/97898152234911240101

Introduction

Robotics and Automation in Industry 4.0 explores the transformative role of robotics, automation, and emerging technologies in the modern industrial landscape. The book is divided into four comprehensive sections, each focusing on key areas of Industry 4.0. These are: 1) Robotics: Applications and Advancements, 2) Renewable Energy Applications, 3), FinTech, and 4) Multidisciplinary approaches. It compiles 13 chapters offering insights into the latest advancements and provides practical guidance for navigating the evolving industrial landscape.

Robotics and Automation in Industry 4.0 provides a comprehensive overview of technical advancements within the context of Industry 4.0. Chapters cover nanorobotics, deep Q-learning for robot path planning, and the design of smart devices. The content also explores the integration of renewable energy in industrial processes and the impact of Industry 4.0 on manufacturing. Additionally, it explains FinTech innovations, including blockchain applications in healthcare and IoT systems. The final section addresses deep learning, IT sector attrition, and solid-state devices, emphasizing a multidisciplinary approach to modern challenges.

This book is a valuable resource for professionals, researchers, and students seeking to understand the implications of Industry 4.0 for different industries.

Readership

Professionals, researchers, and students.

Preface

- Pp. i-iii (3)
Santosh Kumar Das, Soumi Majumder, Nilanjan Dey
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List of Contributors

- Pp. iv

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Nanorobots: Types, Principles and Application

- Pp. 1-8 (8)
Parkarsh Kumar, Santosh Kumar Das*

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Robot Path Planning in a Dynamic Environment Using Deep Q-Learning

- Pp. 9-33 (25)
Rifaqat Ali*, Preeti Chandrakar

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Seven Concerns of Innovation Design Process and Analysis of a Smart Bicycle Frame

- Pp. 34-42 (9)
Suraj*, Arun Kumar, Tameshwer Nath

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Hybrid Optimization of Profit-Based Unit Commitment Allowing for Uncertainties of Renewable Energy Sources in Summer and Wintertime

- Pp. 43-63 (21)
Ranadip Roy*, Ayani Nandi, Nirmalya Mallick

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The Impact of Industry 4.0 on Manufacturing: Challenges and Opportunities

- Pp. 64-82 (19)
Ramesh Chandra Goswami, Hiren Joshi, Sunil Gautam*

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Emerging Technologies in Fintech: A Case Study

- Pp. 83-97 (15)
Keyurkumar Patel*, Pujita Sunnapu, Sunil Gautam

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Leveraging Blockchain Technologies in Healthcare Applications

- Pp. 98-113 (16)
Manorama Patnaik*

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Design and Development of Blockchain Integrated IoT System for Pharmaceutical Applications

- Pp. 114-135 (22)
Jyothy S. T.*, Mrinal Sarvagya

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Attrition in IT Sector: Psychology Behind the Scene

- Pp. 136-152 (17)
Abhisek Sarkar*

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Deep Learning Techniques for Predicting Changes in the Ecosystem

- Pp. 153-167 (15)
Kruthi, Anugraha Anil kumar, Aromal A. J., Chaya Ravindra*

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A Detailed Analysis of Issues with Solid-State Devices

- Pp. 168-188 (21)
Shweta*, Hifzan Ahmad

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Profit-Based Unit Commitment Using Local and Global Search Methods

- Pp. 189-211 (23)
Nirmalya Mallick*, Ayani Nandi, Ranadip Roy

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Classification of Deep Learning Techniques for Object Detection

- Pp. 212-228 (17)
Aras Amruth Raj Purushotham, Manjunath Ravindra*, Chaya Ravindra

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Subject Index

- Pp. 229-234 (6)
Santosh Kumar Das, Soumi Majumder, Nilanjan Dey
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