
Force Estimation And Control In Human-robot Interaction
Author(s): Adriano Scibilia (Author)
- Publisher: WSPC
- Publication Date: July 15, 2025
- Language: English
- Print length: 196 pages
- ISBN-10: 9819813611
- ISBN-13: 9789819813612
Book Description
The study of human-machine interaction as a unique control system has been one of the first research interests in engineering, with nearly a century having passed since the first works in the field. At the same time, it is a crucial aspect of the most recent technological developments in applications of fields such as collaborative robotics and artificial intelligence. The cross-domain nature characterizing this field of study can cause difficulties in finding a guiding line that links motor control theory, modeling approaches of physiological control systems, and identifying human-machine general control models. In this book, the author aims to find such a guiding line by exploring the existing scientific efforts in these fascinating technological scenarios and proposing a novel approach that could enhance human-robot collaboration and interaction. The book is an academic reference and a practical guide for researchers and students in robotics, control systems, and artificial intelligence. The goal is to offer a combination of foundational theory, methodological innovation, and real-world applications to provide the reader with the insights necessary to implement and put into practice state-of-the-art methodologies in robotic control systems.
Editorial Reviews
About the Author
Adriano Scibilia received the MSc degree in biomedical engineering from Politecnico di Milano, in 2018, and the PhD degree in systems engineering energy, computer science and telecommunications from the University of Catania, in 2023. From 2017 to 2018, he was part of the Advanced Robotics Department, IIT. From 2018 to 2023, he was a Research Fellow with the Robot Motion Control and Robotized Processes Laboratory, CNR-STIIMA. Since 2024, he has been a Full Researcher with the Robot Motion Control and Robotized Processes Laboratory, CNR-STIIMA. His research deals with physical human-robot interaction, safety in collaborative robotic systems, human control modeling, and rehabilitation robotics.
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