Artificial Intelligence for Future Generation Robotics

By Valentina Emilia Balas and Monica Bianchini

Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation.

• Brings AI and smart robotics into imaginative, technically-informed dialogue
• Integrates fundamentals with real-world applications
• Presents potential applications for AI in smart robotics by use-case
• Gives detailed theory and mathematical calculations for each application
• Stimulates new thinking and research in applying AI to robotics

• Language: English
• Publisher: Elsevier Science
• Release date: Jun 19, 2021
• ISBN: 9780323857994

Book preview

Preface

Rabindra Nath Shaw, Ankush Ghosh, Valentina E. Balas and Monica Bianchini

Artificial intelligence (AI) is one of the most prevalent topics in today’s world. However, the application of AI we see today is just a tip of the iceberg. The AI revolution has just started to roll out. It is becoming an integral part of all modern electronic devices. Applications in automation areas like automotive, security and surveillance, augmented reality, smart homes, retail automation, and healthcare are some examples. Robotics is also rising to dominate the automated world. The future applications of AI in the robotics area are still undiscovered to most people. We are, therefore, putting an effort to write this edited book on the future applications of AI on smart robotics where several applications have been included in separate chapters. The content of the book is technical. It has tried to cover some of the most advanced application areas of robotics using AI.

This book will provide a future vision of the unexplored areas of applications of robotics using AI. The ideas to be presented in this book are backed up by original research results. The chapters provide an in-depth look with all the necessary theory and mathematical calculations. This book is perfect for researchers and developers to form an argument for what AI could achieve in the future, and those looking for new avenues and use-cases in combining AI with smart robotics and thereby providing benefits for mankind.

Chapter One

Robotic process automation with increasing productivity and improving product quality using artificial intelligence and machine learning

Anand Singh Rajawat¹, Romil Rawat¹, Kanishk Barhanpurkar², Rabindra Nath Shaw³ and Ankush Ghosh⁴,    ¹Department of Computer Science Engineering, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India,    ²Department of Computer Science and Engineering, Sambhram Institute of Technology, Bengaluru, India,    ³Department of Electrical, Electronics & Communication Engineering, Galgotias University, Greater Noida, India,    ⁴School of Engineering and Applied Sciences, The Neotia University, Kolkata, India

Abstract

Robots are ideal replacements for trained staff in repeatable, general, and strategically significant roles, but they are not always practicable as replacements. In spite of growth and advancement in the automation industry, several sectors historically have been robot-reluctant, because they require large or unique quantities and nonserialized properties. The present chapter introduces a newer approach to advanced Productivity and Product Quality, integrating control and robotics’ repeatability with human versatility. The strategy suggested is focused on interactive and symbiotic partnerships between human staff and robots which give the historically manual, robot-reluctant industries a secure and dynamic solution. The proposed architecture contains components for the power, protection, and interface for the current production phase. The results demonstrate that machines, robots, and humans can occupy the field at the same time comfortably without physical separation, delivering advantageous symbiotic cooperation and dramatically reducing time, risk, and expense, with increased efficiency and product consistency over manual

Reviews for Artificial Intelligence for Future Generation Robotics

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