Machine Learning Techniques For Assistive Robotics
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Machine Learning Techniques For Assistive Robotics
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Author : Miguel Angel Cazorla Quevedo
language : en
Publisher: MDPI
Release Date : 2020-12-10
Machine Learning Techniques For Assistive Robotics written by Miguel Angel Cazorla Quevedo and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-10 with Technology & Engineering categories.
Assistive robots are categorized as robots that share their area of work and interact with humans. Their main goals are to help, assist, and monitor humans, especially people with disabilities. To achieve these goals, it is necessary that these robots possess a series of characteristics, namely the abilities to perceive their environment from their sensors and act consequently, to interact with people in a multimodal manner, and to navigate and make decisions autonomously. This complexity demands computationally expensive algorithms to be performed in real time. The advent of high-end embedded processors has enabled several such algorithms to be processed concurrently and in real time. All these capabilities involve, to a greater or less extent, the use of machine learning techniques. In particular, in the last few years, new deep learning techniques have enabled a very important qualitative leap in different problems related to perception, navigation, and human understanding. In this Special Issue, several works are presented involving the use of machine learning techniques for assistive technologies, in particular for assistive robots.
Machine Learning Techniques For Assistive Robotics
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Author : Miguel Quevedo
language : en
Publisher:
Release Date : 2020
Machine Learning Techniques For Assistive Robotics written by Miguel Quevedo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Assistive robots are categorized as robots that share their area of work and interact with humans. Their main goals are to help, assist, and monitor humans, especially people with disabilities. To achieve these goals, it is necessary that these robots possess a series of characteristics, namely the abilities to perceive their environment from their sensors and act consequently, to interact with people in a multimodal manner, and to navigate and make decisions autonomously. This complexity demands computationally expensive algorithms to be performed in real time. The advent of high-end embedded processors has enabled several such algorithms to be processed concurrently and in real time. All these capabilities involve, to a greater or less extent, the use of machine learning techniques. In particular, in the last few years, new deep learning techniques have enabled a very important qualitative leap in different problems related to perception, navigation, and human understanding. In this Special Issue, several works are presented involving the use of machine learning techniques for assistive technologies, in particular for assistive robots.
Artificial Intelligence Based System For Gaze Based Communication
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Author : B.G.D.A. Madhusanka
language : en
Publisher: CRC Press
Release Date : 2024-05-03
Artificial Intelligence Based System For Gaze Based Communication written by B.G.D.A. Madhusanka and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-03 with Computers categories.
This book focuses on the artificial neural network-based system for gaze-based communication. It covers the feasible and practical collaboration of human–computer interaction (HCI) in which a user can intuitively express tasks using gaze-based communication. It will target the vast applications of gaze-based communication using computer vision, image processing, and artificial intelligence. Artificial Intelligence-Based System for Gaze-Based Communication introduces a novel method to recognize the implicit intention of users by using nonverbal communication in combination with computer vision technologies. A novel HCI framework is developed to enable implicit and intuitive gaze-based intention communications. This framework allows the users to intuitively express their intention using natural gaze cues. The book also focuses on robot caregiving technology, which can understand the user’s intentions using minimal interactions with the user. The authors examine gaze-based tracking applications for the assisted living of elderly people. The book examines detailed applications of eye-gaze communication for real-life problems. It also examines the advantages that most people can handle gaze-based communications because it requires very little effort, and most of the elderly and impaired can retain visual capability. This book is ideally designed for students, researchers, academicians, and professionals interested in exploring and implementing gaze-based communication strategies and those working in the field of computer vision and image processing.
Digital Transformation In Education And Artificial Intelligence Application
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Author : Tomislav Volarić
language : en
Publisher: Springer Nature
Release Date : 2024-07-02
Digital Transformation In Education And Artificial Intelligence Application written by Tomislav Volarić and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-02 with Computers categories.
This book constitutes selected papers presented during the Second International Conference on Digital Transformation in Education and Artificial Intelligence Applications, MoStart 2024, held in Mostar, Bosnia and Herzegovina, in April 2024. The 17 papers were selected from the 32 submissions. The proceedings cover a broad range of topics, computer vision, natural language processing, and the latest advancements in the digital transformation of education. Notably, the application of artificial intelligence, the incorporation of gamification and robotics into learning processes, and innovative technologies such as IoT, have been thoroughly explored.
Social Robotics
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Author : Shuzhi Sam Ge
language : en
Publisher: Springer
Release Date : 2018-11-26
Social Robotics written by Shuzhi Sam Ge and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-26 with Computers categories.
This book constitutes the refereed proceedings of the 10th International Conference on Social Robotics, ICSR 2018, held in Qingdao, China, in November 2018.The 60 full papers presented were carefully reviewed and selected from 79 submissions. The theme of the 2018 conference is: Social Robotics and AI. In addition to the technical sessions, ICSR 2018 included 2 workshops:Smart Sensing Systems: Towards Safe Navigation and Social Human-Robot Interaction of Service Robots.
Computer Vision And Robotics
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Author : Praveen Kumar Shukla
language : en
Publisher: Springer Nature
Release Date : 2023-04-27
Computer Vision And Robotics written by Praveen Kumar Shukla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-27 with Technology & Engineering categories.
This book is a collection of the high-quality research articles in the field of computer vision and robotics which are presented in International Conference on Computer Vision and Robotics (ICCVR 2022), organized by BBD University Lucknow India, during 21 – 22 May 2022. The book discusses applications of computer vision and robotics in the fields like medical science, defence and smart city planning. This book presents recent works from researchers, academicians, industry, and policy makers.
Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques
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Author : Abdulhamit Subasi
language : en
Publisher: Academic Press
Release Date : 2019-03-16
Practical Guide For Biomedical Signals Analysis Using Machine Learning Techniques written by Abdulhamit Subasi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-16 with Medical categories.
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. - Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction - Explains how to apply machine learning techniques to EEG, ECG and EMG signals - Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series
Advanced Technology For Human Movement Rehabilitation And Enhancement
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Author : Longbin Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2025-04-08
Advanced Technology For Human Movement Rehabilitation And Enhancement written by Longbin Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Science categories.
In the dynamic landscape of human movement science, the convergence of cutting-edge technology with the intricacies of human physiology has ushered in a new era of transformative possibilities. This captivating research theme, encompassing the realms of neurorehabilitation, assistive robotics, human-machine interaction, and balance control, offers the exciting prospect of reshaping the boundaries of movement recovery. Translational research serves as the crucial conduit between scientific breakthroughs and tangible implementation, ensuring that the cutting-edge technologies birthed within laboratories seamlessly transition into real-world clinical applications. Neurorehabilitation delves into neuroplasticity, unraveling the brain's adaptability for recovery. Advanced imaging and neurophysiology guide interventions, enabling rewiring of neural pathways in individuals with neurological injuries. Assistive robotics fuse human potential with sophisticated devices, aiding recovery through tailored support. These allies enhance muscle activation, joint movement, and gait training, driving functional independence. Human-machine interaction deciphers neural signals, blurring lines between humans and technology. A seamless collaboration empowers individuals to guide and benefit from technological assistance. Investigating balance control strategies is crucial for designing assistive robotics that revolutionize rehabilitation and mobility. By understanding users' perspectives, we uncover the intricate link between human thinking, neuromuscular coordination, and balance maintenance. This insight informs the development of user-centered robotics, enhancing natural movement patterns and enabling effective rehabilitation, ultimately restoring stability and confidence in mobility.
Fostering Cross Industry Sustainability With Intelligent Technologies
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Author : Mishra, Brojo Kishore
language : en
Publisher: IGI Global
Release Date : 2024-01-22
Fostering Cross Industry Sustainability With Intelligent Technologies written by Mishra, Brojo Kishore and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-22 with Business & Economics categories.
In today's context of intricate global challenges, encompassing climate crises, resource scarcity, and social disparities, the imperative for sustainable development has never been more pressing. While academic scholars and researchers are instrumental in crafting solutions, they often grapple with the intricate balance between theoretical concepts and practical implementation. This gap impedes the transformation of innovative ideas into tangible societal progress, leaving a void where effective real-world strategies for cross-industry sustainability should flourish. "Fostering Cross-Industry Sustainability With Intelligent Technologies" seeks to bridge this divide. This book is more than just a collection of pages; it serves as a roadmap for those determined to make a tangible impact. It brings together a diverse group of esteemed experts from various disciplines, offering a comprehensive spectrum of actionable insights, all grounded in the ethical imperatives of inclusivity and environmental responsibility. Anchored in the United Nations Sustainable Development Goals (SDGs), this volume serves as a guiding star, channeling theoretical expertise into practical solutions. For academic scholars, scientists, innovators, and students alike, Fostering Cross-Industry Sustainability With Intelligent Technologies is the definitive guidepost. It fosters a profound understanding of the real-world implications of research, promoting interdisciplinary collaborations that transcend conventional boundaries. This comprehensive book presents a wealth of sustainable science and intelligent technology applications, all while emphasizing the importance of ethics and societal impact. With visionary insights woven throughout its pages, it calls upon humanity to envision a future where challenges transform into opportunities, and sustainable development becomes an attainable reality.
Robotics And Smart Autonomous Systems
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Author : Rashmi Priyadarshini
language : en
Publisher: CRC Press
Release Date : 2024-11-25
Robotics And Smart Autonomous Systems written by Rashmi Priyadarshini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Computers categories.
The text discusses fundamental, advanced concepts and applications of robotics and autonomous systems. It further discusses important topics, such as robotics techniques in the manufacturing sector, applications of smart autonomous systems in the healthcare sector, resource optimization in mobile robotics, and smart autonomous transport systems. Features Covers design and application aspects of robotic systems for implementing the concepts of smart manufacturing with reduced human intervention, better accuracy, and enhanced production capacity. Discusses techniques including supervised learning, unsupervised learning, and reinforced learning with real-life examples. Highlights a unified intermodal approach for automated transportation including cars, trucks, ships, and port management. Explains the mechanical design of planetary rovers, and the mechanical design of space manipulators, actuators, and sensors. Presents programming tools and platforms for autonomous robotic systems. The book is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer science and engineering, and automotive engineering.