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Optical Fiber Sensors for the Next Generation of Rehabilitation Robotics presents the development and applications, including case studies, of optical fiber sensors made of compliant materials in rehabilitation robotics.
This book provides methods for the instrumentation of novel compliant devices. The readers can address to this book in order to design robotic structures for different applications in which this book helps on solving a major problem in soft robotics, which is the lack of suitable sensors for large displacement sensing as well as compliant sensors for soft structures. This book will be a great resource to mechanical, electrical and electronics engineers to photonics and optical sensing engineers.
It presents the development, characterization and application of optical fiber sensors in robotics, ranging from conventional robots with rigid structures to novel wearable systems with soft structures, including smart textiles and intelligent structures for healthcare.
- Addresses the optical fiber sensing solutions in wearable systems and soft robotics
- Presents the development from the foundational to the novel and future applications of optical fiber sensors in the next generation of robotic devices
- Provides methods for the instrumentation of novel compliant devices
Undergraduate and graduate level electronic engineers, mechanical engineers, mechatronic engineers, photonic engineers and biomedical engineers. R&D Professionals in healthcare devices, robotics and materials development. Undergraduate and graduate level electric engineers, chemistry, physicists, physiotherapists, medical doctors. Health professionals, Rehabilitation clinics
Part 1: Introduction to soft robotics and rehabilitation systems
1. Wearable robots technologies
2. Soft robots technologies (actuation and applications)
3. Human-in-the-loop design of soft structures and healthcare systems
Part 2: Introduction to optical fiber sensing
4. Optical fiber fundaments and overview
5. Optical fiber materials
6. Optical fiber sensing technologies
Part 3: Optical fiber sensors in rehabilitation systems
7. Instrumentation of exoskeletons and prosthetics device
8. Complaint actuators instrumentation
9. Smart structures and textiles for gait analysis
10. Soft robotics instrumentation
Part 4: Case studies
11. Additive layer manufacturing on smart structures development in healthcare
12. Smart walkers instrumentation and development with compliant optical fiber sensors
13. Multifunctional smart textiles
- No. of pages:
- © Academic Press 2021
- 1st November 2021
- Academic Press
- Paperback ISBN:
Arnaldo G. Leal-Junior was born in Uberlandia, Brazil, in 1991. He received the B.S. degree in mechanical engineering and the Ph.D. degree in electrical engineering from the Universidade Federal do Espírito Santo (UFES), Brazil, in 2015 and 2018, respectively. He is currently a professor in the mechanical engineering Department, UFES. His research interests include optical fiber sensors with emphasis on polymer optical fiber sensors, robotic systems, instrumentation and actuators.
Professor, Department of Mechanical Engineering, Federal University of Espirito Santor (UFES), Vitória, Espírito Santo, Brazil
Anselmo Frizera-Neto received his B.S. degree in Electrical Engineering from the Federal University of Espírito Santo (2006) and the PhD degree in Electronics from the Universidad de Alcalá (Spain, 2010). Between 2006 and 2010, he worked as a researcher at the Bioengineering Group at the Consejo Superior de Investigaciones Científicas (CSIC, Spain). Since 2010 he is a Professor in the Department of Electrical Engineering at the Federal University of Espírito Santo (UFES). He served as a member of the Board of Directors of the Asociación Iberoamericana de Tecnologías de Apoyo a la Discapacidad (AITADIS) from 2014 to 2018, contributing to support the dissemination of knowledge in the area of assistive technologies to countries in Latin America and the Iberian Peninsula. His research interests and areas of expertise are rehabilitation robotics, development of optical and electronic sensors for human-machine interfaces, biomedical signal processing, technologies to support disabilities and assist mobility.
Professor, Department of Electrical Engineering, Federal University of Espirito Santor (UFES), Vitória, Espírito Santo, Brazil
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