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Bianchini has authored more than one hundred papers and has been the editor of books and special issues on international journals in her research field. Her main research interests are in the field of machine learning, with emphasis on neural networks for structured data and deep learning, approximation theory, bioinformatics, and image processing. She is currently an Associate Professor at the Department of Information Engineering and Mathematics of the University of Siena. degree in Computer Science and Control Systems in 1995 from the University of Florence.
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Monica Bianchini received the Laurea degree cum laude in Applied Mathematics in 1989 and the Ph.D. Original research and review works with model and build Robotics applications using Machine learning are included as chapters in this book. 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. It will provide a vision on future areas of application and their approach in detail. 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. The chapter provided here in-depth look with all necessary theory and mathematical calculations. The ideas to be presented in this book are backed up by original research results. This book will provide the future vision on the unexplored areas of applications of Robotics using machine learning. It has been tried to cover all possible application areas of Robotics using machine learning. 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 future applications of machine learning in the robotics area are still undiscovered to the common readers. Robotics is also rising to dominate the automated world. Applications in automation areas like automotive, security and surveillance, augmented reality, smart home, retail automation and healthcare are few of them. It is becoming an integral part of all modern electronic devices. The machine learning revolution has just started to roll out. The application of machine learning we see today is a tip of the iceberg. Machine learning has become one of the most prevalent topics in recent years.