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Title
Machine learning for robotics applications / Monica Bianchini, Milan Simic, Ankush Ghosh, Rabindra Nath Shaw, editors.
ISBN
9789811605987 (electronic bk.)
981160598X (electronic bk.)
9789811605970 (print)
9811605971
Published
Singapore : Springer, [2021]
Language
English
Description
1 online resource (xii, 168 pages) : illustrations (some color)
Item Number
10.1007/978-981-16-0598-7 doi
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
Summary
Machine learning has become one of the most prevalent topics in recent years. The application of machine learning we see today is a tip of the iceberg. The machine learning 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 home, retail automation and healthcare are few of them. Robotics is also rising to dominate the automated world. The future applications of machine learning in the robotics area are still undiscovered to the common readers. We are, therefore, putting an effort to write this edited book on the future applications of machine learning on robotics where several applications have been included in separate chapters. The content of the book is technical. It has been tried to cover all possible application areas of Robotics using machine learning. This book will provide the future vision on the unexplored areas of applications of Robotics using machine learning. The ideas to be presented in this book are backed up by original research results. The chapter provided here in-depth look with all necessary theory and mathematical calculations. It will be perfect for laymen and developers as it will combine both advanced and introductory material to form an argument for what machine learning could achieve in the future. It will provide a vision on future areas of application and their approach in detail. Therefore, this book will be immensely beneficial for the academicians, researchers and industry project managers to develop their new project and thereby beneficial for mankind. Original research and review works with model and build Robotics applications using Machine learning are included as chapters in this book.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 27, 2021).
Series
Studies in computational intelligence ; v. 960. 1860-949X
Chapter 1. Manipulation of Standard Link Mechanism for Robotic Application using Artificial Neural Network and PID
Chapter 2. Machine learning-enabled Human Activity Recognition System for Humanoid robot
Chapter 3. Hospital Assistance Robots-Control Strategy and Machine Learning Technology
Chapter 4. Cyber Physical System Fraud Analysis by Mobile Robot
Chapter 5. Design and Development of an Intelligent Robot for Improving Crop Productivity using Machine Learning
Chapter 6. Integration of Wireless Sensor Network in Robotics
Chapter 7. Industry 4.0 and Robotics Automation-New Trends in Cyber Security
Chapter 8. Digital Transformation in Smart Manufacturing with Industrial Robot through Predictive Data Analysis
Chapter 9. Surveillance Robot in Cyber Intelligence for Vulnerability Detection
Chapter 10. Framework and Smart Contract for Blockchain Enabled Certificate verification Sys-tem using Robotics.
