Название: Machine Learning for Robotics Applications (Studies in Computational Intelligence, 960)Автор: Monica Bianchini (Editor), Milan Simic (Editor), Ankush Ghosh (Editor), Rabindra Nath Shaw (Editor)
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 175
Размер: 10 Mb
Язык: English
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.
Название: 5G and Beyond: Fundamentals and Standards
Название: Codes, Ciphers, Steganography & Secret Messages
