Soft Robotics for Medical and Healthcare Applications
Soft Robotics for Medical and Healthcare Applications: (Computational and Intelligent Systems)

Soft Robotics for Medical and Healthcare Applications: (Computational and Intelligent Systems)


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About the Book

Soft robotics is an emerging field that involves the development and application of robots and robotic systems made from soft and flexible materials. Soft Robotics for Medical and Healthcare Applications discusses the use of soft robotics in minimally invasive vascular surgery, for clubfoot, and filariasis leg. The title: Discusses soft robot design which is helpful for researchers and students to design the mechanisms for problems like filariasis leg, and personalized rehabilitation devices Covers metal additive manufacturing processes used for soft robot parts printing Explains design, actuation, manufacturing, and analysis of soft robots for healthcare applications Explores 3D and 4D printing for soft robotics, data-driven soft robotics, and the use of soft robotics in drug delivery Presents case studies including the creation of custom filariasis limbs and the application of soft robots in minimally invasive vascular surgery The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and biomedical engineering.

Table of Contents:
Table of Contents Preface Acknowledgements Editor Biographies List of Contributors Chapter-1 Introduction to Soft robotics: Opportunities and challenges 1.1 Introduction 1.2 Digital Twin and Soft Robotics 1.3 Applications of the soft robotics 1.3.1 Medical and Healthcare 1.3.2 Agriculture and Food Industry 1.4 Soft robotics and 3D printing 1.5 Fabrication of Soft Robots 1.6 Conclusions Chapter -2. Recent Developments and Emerging Trends in Soft Robotics 2.1 Introduction 2.1.1. Literature Review 2.2 What is a Soft robot 2.3 Actuation of a Soft Robot 2.3.2 Photosensitive actuators 2.3.3 Dielectric elastomers actuators 2.3.4 Combustion-driven actuators 2.4 Advances in smart robotic material technologies 2.5 Advanced Manufacturing Techniques 2.6 Trends in design and analysis of soft robots 2.7 Future Directions and Challenges 2.8 Conclusions Chapter-3 Soft Robotic Treatment for Club Foot 3.1 Introduction 3.2 Club Foot 3.2.1 Reasons for Clubfoot 3.2.2 Symptoms of club foot 3.3 There are two main types of clubfoot 3.3.1 Idiopathic Clubfoot 3.3.2 Non idiopathic clubfoot 3.4 Soft Robots in Clubfoot treatment 3.4.1 Soft robotic Materials used in club foot treatment 3.4.2Chemical Structure and Resistance 3.4.3 Fungus Resistance 3.5 Proposed Treatment Methods 3.6 Conclusions Chapter-4 Medical Applications of Bio-Inspired Soft Robotics 4.1Introduction 4.2. Design and Mechanisms of Bio-Inspired Soft Robots 4.2.1. Actuation Mechanisms 4.2.2. Sensing and Control 4.3 Minimally Invasive Surgery 4. 3.1. Endoscopic Soft Robots 4. 3.2Surgical Instruments 4. 4. Rehabilitation and Prosthetics 4.4.1. Wearable Soft Exoskeletons 4.4.2. Soft Prosthetic Limbs 4.5. Drug Delivery Systems 4.5.1. Micro scale Soft Robots 4.5.2. Implantable Drug Delivery Devices 4.6. Diagnostic Tools 4.6.1. Soft Robotic Biopsy Devices 4.6.2. Flexible Endoscopic Tools 4.7 Case Studies 4.7. Challenges and Future Prospects 4.8. Conclusions Chapter-5 Motion Control of Soft Robotic Arm through Servo Motors 5.0 Introduction 5.1 Literature Survey 5.2 Stepper Motors 5.2.1 Operation 5.2.2 Advantages of Stepper Motors 5.2.3Applications of Stepper Motors 5.2.4 Limitations of Stepper Motors 5.3 Servo Motors 5.3.3 Advantages of Servo Motors over Stepper Motors 5.4 Motion control in soft robotics 5.4.1 Actuation Mechanisms 5.4.2 Control Strategies 5.5 Hardware Configurations 5.5.1Dynamic Model of High-Speed Precision Positional Servo System 5.5.2 Motion Control 5.6 Conclusion Chapter-6 Soft Robotic Applications to Care Elderly People 6.0 Introduction 6.1Literature review 6.1.1 Soft Robotics: Definition and Characteristics 6.1.2Mobility Assistance for Elderly Individuals 6.2 Soft Robotic Exoskeletons 6.2.1 Lower-Limb Exoskeletons for Walking Assistance 6.2.2 Challenges in Lower-Limb Exoskeletons 6.3 Soft Wearable Devices 6.3.1 Soft Robotic Belts for Balance and Postural Control 6.3.2 Challenges in Wearable Devices 6.3.3 Fall Prevention and Stability Support 6.3.4Smart Footwear and Balance Sensors 6.3.5Wearable Sensors for Real-Time Monitoring 6.3.6Challenges in Fall Prevention Systems 6.4 Human-Robot Interaction and User Acceptance 6.4.1 User-Centered Design 6.4.2 Perceived Trust and Safety 6.5 Rehabilitation and Therapy 6.5.1 Soft Robotic Exoskeletons for Physical Rehabilitation 6.5.2 Gait Training and Mobility Improvement 6.5.3. Post-Stroke Rehabilitation 6.5.4. Therapeutic Robotics for Joint Mobility 6.5.5 cognitive and Physical Rehabilitation Integration 6.5.6. Challenges and Future Prospects 6.6. Activities of Daily Living (ADLs) Support 6.6.1. Dressing Assistance 6.6.2 Feeding Assistance 6.6.3 Hygiene and Bathing 6.6.4 Grooming and Personal Care 6.6.5 Challenges and Future Directions 6.7. Emotional Support and Companionship 6.7.1. Therapeutic Robotic Companions 6.7.2. Socially Assistive Robots (SARs) 6.7.3 Combating Loneliness and Social Isolation 6.7.4 Ethical Considerations: Authenticity of Relationships 6.8. Challenges and Limitations 6.9. Future Directions 6.9.1. Ethical Considerations and Challenges 6.9.2 Autonomy and Dependency 6.9.2. Privacy and Data Security 6.9.3. Informed Consent and Decision-Making 6.9.4. Human-Robot Relationships and Social Isolation 6.9.5. Cost and Accessibility 6.9.6. Dignity and Emotional Well-Being 6.10. Conclusion Chapter-7 Innovative Soft Robotics: Transforming Care and Quality of Life for elderly persons 7.1Introduction 7.2Soft robotics 7.3 Elderly person problems 7.4 Healthcare Access and Management 7.5 Case Studies 7.6 Conclusions Chapter - 8 Comprehensive Study on Materials Used in Soft Robotics for Medical and Healthcare Industries 8.1 Types of Soft Robotic Materials 8.0 Introduction 8.1.1. Elastomers 8.1.2. Hydrogels 8.2.3. Optically Responsive Actuators 8.2 TRA 8.2.4 Magnetically Responsive Hydrogel 8.2.5 Hydraulically Responsive Hydrogel 8.3.Shape Memory Polymers (SMPs) 8.3.1 PLA 8.4 Conclusions Chapter-9 Data Driven Soft Robotics 9.1 Introduction to Soft Robotics 9.2. Fundamentals of Soft Robotics 9.2.1 Materials Used in Soft Robotics 9.2.2. Design and Fabrication Techniques 9.2.3 3D Printing 9.3. The Role of Data in Soft Robotics 9.3.1. Data Collection and Sensors 9.3.2 Data-Driven Modeling and Simulation 9.4. Soft Robotics Control Systems 9.4.1. Traditional Control Methods 9.4.2. Data-Based Control Techniques 9.5. Architectures Representing Data-Driven Soft Robotics 9.6. Applications of Data-Driven Soft Robotics 9.6.1. Medical Applications 9.6.2. Industrial Applications 9.6.3. Environmental and Exploration Applications 9.7 Challenges and Future Directions 9.7.1. Technical Challenges 9.7.2. Ethical and Societal Implications 9.7.3. Future Research Directions 9.8. Conclusion Chapter-10 Machine Learning in Soft Robotics: Techniques and Applications 10.1 Introduction 10.2 Machine Learning 10.3 Necessity of Machine Learning 10.4 Soft robotics 10.5 Collaboration of soft robotics with Machine Learning 10.6 Notable examples of soft robotics 10.7 Conclusions Chapter 11 3D and 4D Printing: Revolutionizing Soft Robotics 11.0 Introduction 11.1 Historical Development 11.2 3D Printing in Soft Robotics 11.3 Advancements Expanding Capabilities 11.4 4D Printing in Soft Robotics 11.5 Challenges and Constraints 11.6 Recent Progress and Future Prospects 11.7 Fabrication Improvements 11.8 Conclusion Chapter-12 Designing Bio-Inspired Soft Robotics for Medical Applications 12.0 Top of Form Bottom of Form Introduction 12.1 Soft robotics 12.2 Classification of soft robots 12.3 Manufacturing (3D printing) technology for robotic soft actuator 12.3.1. Material Selection 12.3.2. Design and Modeling 12.3.3 Manufacturing Techniques 12. 3.4Post-Processing 12.3.5. Integration and Testing 12.3.6 Applications and Customization 12.4 Fundamentals of Bio-Inspired Soft Robotics Design 12.4.1Material Selection 12.4.2 Actuation Mechanisms 12.5Major applications of Soft Robotics 12.5.1Medical Applications 12.5.2Drug Delivery Systems 12.5.3 Types of Soft Robotic Drug Delivery Systems 12.5.4Rehabilitation and Assistive Devices 12.5.5Tissue Engineering 12.6Challenges and Future Directions 12.6.1 Bio inspired soft robotics: challenges 12.6.2 Future Directions of Bio-inspired Soft Robotics 12.7 Future studies ought to concentrate on 12.8Outlook Chapter-13 Advances in Design and Manufacturing of soft robotic applications 13.1 Introduction 13.2 Importance of Soft Robotics design 13.2.1 Enhanced Design Accuracy 13.2.2 Complex Geometries and Topologies 13.2.3 Simulation and Testing 13.2.4 Material Optimization 13.2.5 Collaboration and Prototyping 13.3 Manufacturing of soft robots 13.3.1 Manufacturing intelligence 13.4 Mechanisms used in soft robotics 13.5 Conclusions Chapter 14 Soft Robotics: Current Opportunities and Encountered Challenges 14.1 Introduction 14.2 Literature Review 14.3 Current Opportunities 14.3.1 Soft Robotics Compatible Technologies Development 14.3.2 Complete Conversion from Hard Robots to Soft Robots 14.3.3 Soft Actuator Development 14.3.4 Soft Robots Control 14.3.5 μ-Organism-like Soft Robots Development 14.3.6 Wearable Soft Robots Development 14.3.7 Untethered Soft Robots Development 14.4. Encountered Challenges 14.4.1 Wearable Soft Robots Challenges 14.4.2μ-Organism-like Soft Robots Development Challenges 14.4.3Soft Actuator Development Challenges 14.4.4 Soft Materials Development Challenges 14.4.5Untethered Soft Robots Challenges 14.4.6 Soft Robots Control Challenges 14.5 Softness Characteristics 14.6 Conclusion Chapter-15 Current and Future Market Trends in Soft Robotics: A Management Perspective 15.1 Introduction 15.2 Current Market Overview 15.3 Economic Implications and Value Creation 15.3.1 Case Studies of Economic Impact 15.4 Competitive Landscape and Market Entry Challenges 15.5 Anticipated Market Growth and Opportunities 15.6 Strategic Management Approaches 15.7 Conclusions

About the Author :
Dr. Shaik Himam Saheb is currently working as an Senior Assistant Professor in the Department of Mechanical and Robotics Engineering, Vignan’s Foundation for Science, Technology and Research(Deemed to be University), Hyderabad, Telangana, INDIA. His research interests are Robotics, Parallel Mechanisms, Data Science, and Machine Learning. He has published 48 Research papers in National and International journals and international conferences. He has published 4 books. The team guided by him has received a National level Go-Kart Championship with 1 lakh cash prize the event organized by Indian Society of New Era Engineers. His professional affiliations are MISTE, LMIAENG and MSMAE. Dr Appala Tharakeshwar is currently a Professor in the Mechanical Engineering department and Vice principal at Sri Venkateswara College of Engineering, Tirupati. His research interests are Robotics, Mechanisms, and multibody Dynamics. He completed his doctorate from the Indian Institute of Science (IISc) in Bangalore and has over 20 years of teaching and research experience. He has published 10 national and international journals and conferences. Dr. Mohammad S. Khan (SM’ 19) is currently an Associate Professor of Computing at East Tennessee State University and the director of Network Science and Analysis Lab (NSAL). He received his M.Sc. and Ph.D. in Computer Science and Computer Engineering from the University of Louisville, Kentucky, USA, in 2011 and 2013, respectively. His primary area of research is in ad-hoc networks, wireless sensor networks, network tomography, connected vehicles, and vehicular social networks. He currently serves as an associate editor of IEEE Access, IET ITS, IET WSS, Springer’s Telecommunication Systems and Neural Computing and Applications. He has been on technical program committees of various international conferences and technical reviewer of various international journals in his field. He is a senior member of IEEE.


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Product Details
  • ISBN-13: 9781040343319
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 1040343317
  • Publisher Date: 27 May 2025
  • Binding: Digital (delivered electronically)
  • Series Title: Computational and Intelligent Systems


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