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Machine Learning Techniques For Assistive Robotics
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Book Synopsis Machine Learning Techniques for Assistive Robotics by : Miguel Angel Cazorla Quevedo
Download or read book Machine Learning Techniques for Assistive Robotics written by Miguel Angel Cazorla Quevedo and published by MDPI. This book was released on 2020-12-10 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning Techniques for Assistive Robotics by : Miguel Quevedo
Download or read book Machine Learning Techniques for Assistive Robotics written by Miguel Quevedo and published by . This book was released on 2020 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Robotic Assistive Technologies by : Pedro Encarnação
Download or read book Robotic Assistive Technologies written by Pedro Encarnação and published by CRC Press. This book was released on 2017-02-03 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a comprehensive overview of all current uses of robots in rehabilitation. The underlying principles in each application are provided. This is followed by a critical review of the technology available, of the utilization protocols, and of user studies, outcomes, and clinical evidence, if existing. Ethical and social implications of robot use are also discussed. The reader will have an in depth view of rehabilitation robots, from principles to practice.
Book Synopsis Intelligent Assistive Robots by : Samer Mohammed
Download or read book Intelligent Assistive Robots written by Samer Mohammed and published by Springer. This book was released on 2015-03-26 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the growing challenges of using assistive robots in our everyday activities along with providing intelligent assistive services. The presented applications concern mainly healthcare and wellness such as helping elderly people, assisting dependent persons, habitat monitoring in smart environments, well-being, security, etc. These applications reveal also new challenges regarding control theory, mechanical design, mechatronics, portability, acceptability, scalability, security, etc.
Book Synopsis AI for Healthcare Robotics by : Eduard Fosch-Villaronga
Download or read book AI for Healthcare Robotics written by Eduard Fosch-Villaronga and published by CRC Press. This book was released on 2022-06-07 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is artificial intelligence (AI)? What is healthcare robotics? How can AI and healthcare robotics assist in contemporary medicine? Robotics and AI can offer society unimaginable benefits, such as enabling wheelchair users to walk again, performing surgery in a highly automated and minimally invasive way, and delivering care more efficiently. AI for Healthcare Robotics explains what healthcare robots are and how AI empowers them in achieving the goals of contemporary medicine.
Book Synopsis Recent Advances in Robot Learning by : Judy A. Franklin
Download or read book Recent Advances in Robot Learning written by Judy A. Franklin and published by Springer Science & Business Media. This book was released on 1996-06-30 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).
Book Synopsis Intelligent Systems for Rehabilitation Engineering by : Roshani Raut
Download or read book Intelligent Systems for Rehabilitation Engineering written by Roshani Raut and published by John Wiley & Sons. This book was released on 2022-01-05 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT SYSTEMS FOR REHABILITATION ENGINEERING Encapsulates different case studies where technology can be used as assistive technology for the physically challenged, visually and hearing impaired. Rehabilitation engineering includes the development of technological solutions and devices to assist individuals with disabilities, while also supporting the recovery of the disabled who have lost their physical and cognitive functions. These systems can be designed and built to meet a wide range of needs that can help individuals with mobility, communication, vision, hearing, and cognition. The growing technological developments in machine learning, deep learning, robotics, virtual intelligence, etc., play an important role in rehabilitation engineering. Intelligent Systems for Rehabilitation Engineering focuses on trending research of intelligent systems in rehabilitation engineering which involves the design and development of innovative technologies and techniques including rehabilitation robotics, visual rehabilitation, physical prosthetics, brain computer interfaces, sensory rehabilitation, motion rehabilitation, etc. This groundbreaking book Provides a comprehensive reference covering different computer assistive techniques for the physically disabled, visually and hearing impaired. Focuses on trending research of intelligent systems in rehabilitation engineering which involves the design and development of innovative technologies and techniques. Provides insights into the role of intelligent systems in rehabilitation engineering. Audience Engineers and device manufacturers working in rehabilitation engineering as well as researchers in computer science, artificial intelligence, electronic engineering, who are working on intelligent systems.
Book Synopsis Assistive Healthcare Robotics and Preference Learning by : Bryce Woodworth
Download or read book Assistive Healthcare Robotics and Preference Learning written by Bryce Woodworth and published by . This book was released on 2020 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robots have the potential to revolutionize the way healthcare is delivered, particularly with regard to improving access to it. In-home robotic assistants could be used to extend care in a consistent, scalable, and personalized way. To realize this vision, we decompose the requirements of such a system, propose a target architecture, and illustrate where more research effort is needed. In particular, we focus on preference inference as a subproblem in which we aim to make direct progress. Current preference learning techniques lack the ability to infer long-term, task-independent preferences in realistic, interactive, incomplete-information settings. To address this gap, we introduce a novel preference-inference formulation, inspired by assistive robotics applications, in which a robot must infer these kinds of preferences based only on observing the user's behavior in various tasks. We then propose a candidate inference algorithm based on maximum-margin methods, and evaluate its performance in the context of robot-assisted prehabilitation. We find that the algorithm learns to predict aspects of the user's behavior as it is given more data, and that it shows strong convergence properties after a small number of iterations. This result moves us towards the vision of more helpful and personal in-home robotic assistants, and demonstrates the tractability of future progress in this area.
Book Synopsis A Treatise on Good Robots by : Krzysztof Tchon
Download or read book A Treatise on Good Robots written by Krzysztof Tchon and published by Routledge. This book was released on 2017-09-08 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume investigates the ways emerging technologies in the fields of robotics and bio-robotics are influencing society. It necessarily considers both philosophical and technological study of robots, including what it means for robots to exist as good and moral entities, and how they benefit humans and enhance their quality of life. Contributors address artificial intelligence and social functions as well as technical matters. Chapters are wide-ranging, and consider robots in science fiction; the need for designers to create moral robots; specific technology; and the development of biological robots. Also addressed are robotic technologies already enhancing human bodies, such as exoskeletons that allow paraplegics to walk. The contributors foresee robots becoming involved not only in mundane domestic tasks such as washing dishes, but also in providing health care to the disabled and companionship to the elderly. This volume offers exciting philosophical reflections that unveil new connections between robotics and praxiology and their practical applications.
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Book Synopsis Advances in Assistive Technologies by : George A. Tsihrintzis
Download or read book Advances in Assistive Technologies written by George A. Tsihrintzis and published by Springer Nature. This book was released on 2021-11-30 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at exposing its readers to some of the most significant advances in assistive technologies. Assistive technologies develop devices to assist vulnerable people, including elderly people, people with cognitive disabilities such as memory problems or dementia, and people with functional disabilities such as those needing support in toileting, moving around, eating, bathing, dressing, grooming, and taking personal care. The ever-increasing life expectancy and world population, along with the emergence of new diseases and the regrettable continuation of armed conflicts, press for development and availability of assistive technologies that offer people in need the opportunity to live secure and controlled lives with more active participation in society and at a reduced assistive cost. This task can be accomplished only with more advanced devices than traditional-powered wheelchairs or eating/drinking devices, including prosthetics, exoskeletons, visual and hearing aids, cognitive aids, and devices enhanced with artificial intelligence. The book consists of an editorial note and an additional twelve (12) chapters, all of which have been written by authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into four parts, namely (i) Advances in Assistive Technologies in Healthcare, (ii) Advances in Assistive Technologies in Medical Diagnosis, (iii) Advances in Assistive Technologies in Mobility and Navigation, and (iv) Advances in Privacy and Explainability in Assistive Technologies. This research book is directed towards professors, researchers, scientists, engineers, and students in assistive technologies. It is also directed towards readers who come from other disciplines and is interested in becoming versed in some of the most recent assistive technologies. An extensive list of bibliographic references at the end of each chapter guides its readers to probe further into the application areas of interest to them.
Book Synopsis Makers at School, Educational Robotics and Innovative Learning Environments by : David Scaradozzi
Download or read book Makers at School, Educational Robotics and Innovative Learning Environments written by David Scaradozzi and published by Springer Nature. This book was released on 2021-12-10 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book contains observations, outlines, and analyses of educational robotics methodologies and activities, and developments in the field of educational robotics emerging from the findings presented at FabLearn Italy 2019, the international conference that brought together researchers, teachers, educators and practitioners to discuss the principles of Making and educational robotics in formal, non-formal and informal education. The editors’ analysis of these extended versions of papers presented at FabLearn Italy 2019 highlight the latest findings on learning models based on Making and educational robotics. The authors investigate how innovative educational tools and methodologies can support a novel, more effective and more inclusive learner-centered approach to education. The following key topics are the focus of discussion: Makerspaces and Fab Labs in schools, a maker approach to teaching and learning; laboratory teaching and the maker approach, models, methods and instruments; curricular and non-curricular robotics in formal, non-formal and informal education; social and assistive robotics in education; the effect of innovative spaces and learning environments on the innovation of teaching, good practices and pilot projects.
Book Synopsis Advances in Robot Learning by : Jeremy Wyatt
Download or read book Advances in Robot Learning written by Jeremy Wyatt and published by Springer Science & Business Media. This book was released on 2000-10-11 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 8th European Workshop on Learning Robots, EWLR'99, held in Lausanne, Switzerland in September 1999. The seven revised full workshop papers presented were carefully reviewed and selected for inclusion in the book. Also included are two invited full papers. Among the topics addressed are map building for robot navigation, multi-task reinforcement learning, neural network approaches, example-based learning, situated agents, planning maps for mobile robots, path finding, autonomous robots, and biologically inspired approaches.
Book Synopsis Learning from Natural Human Interactions for Assistive Robots by : Ashesh Jain
Download or read book Learning from Natural Human Interactions for Assistive Robots written by Ashesh Jain and published by . This book was released on 2016 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leveraging human knowledge to train robots is a core problem in robotics. In the near future we will see humans interacting with agents such as, assistive robots, cars, smart houses, etc. Agents that can elicit and learn from such interactions will find use in many applications. Previous works have proposed methods for learning low-level robotic controls or motion primitives from (near) optimal human signals. In many applications such signals are not naturally available. Furthermore, optimal human signals are also difficult to elicit from non-expert users at a large scale. Understanding and learning user preferences from weak signals is therefore of great emphasis. To this end, in this dissertation we propose interactive learning systems which allow robots to learn by interacting with humans. We develop interaction methods that are natural to the end-user, and algorithms to learn from sub-optimal interactions. Furthermore, the interactions between humans and robots have complex spatio-temporal structure. Inspired by the recent success of powerful function approximators based on deep neural networks, we propose a generic framework for modeling interactions with structure of Recurrent Neural Networks. We demonstrate applications of our work on real-world scenarios on assistive robots and cars. This work also established state-of-the-art on several existing benchmarks.
Book Synopsis Robotic Technologies in Biomedical and Healthcare Engineering by : Deepak Gupta
Download or read book Robotic Technologies in Biomedical and Healthcare Engineering written by Deepak Gupta and published by CRC Press. This book was released on 2021-06-30 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: New prospects for biomedical and healthcare engineering are being created by the rapid development of Robotic and Artificial Intelligence techniques. Innovative technologies such as Artificial Intelligence, Deep Learning, Robotics, and IoT are currently under huge influence in today’s modern world. For instance, a micro-nano robot allows us to study the fundamental problems at a cellular scale owing to its precise positioning and manipulation ability; the medical robot paves a new way for the low-invasive and high-efficient clinical operation, and rehabilitation robotics is able to improve the rehabilitative efficacy of patients. This book aims at exhibiting the latest research achievements, findings, and ideas in the field of robotics in biomedical and healthcare engineering, primarily focusing on the walking assistive robot, telerobotic surgery, upper/lower limb rehabilitation, and radiosurgery. As a result, a wide range of robots are being developed to serve a variety of roles within the medical environment. Robots specializing in human treatment include surgical robots and rehabilitation robots. The field of assistive and therapeutic robotic devices is also expanding rapidly. These include robots that help patients rehabilitate from severe conditions like strokes, empathic robots that assist in the care of older or physically/mentally challenged individuals, and industrial robots that take on a variety of routine tasks, such as sterilizing rooms and delivering medical supplies and equipment, including medications. The objectives of the book are in terms of advancing the state-of-the-art of robotic techniques and addressing the challenging problems in biomedical and healthcare engineering. This book Lays a good foundation for the core concepts and principles of robotics in biomedical and healthcare engineering, walking the reader through the fundamental ideas with expert ease. Progresses on the topics in a step-by-step manner and reinforces theory with a full-fledged pedagogy designed to enhance students’ understanding and offer them a practical insight into the applications of it. Features chapters that introduce and cover novel ideas in healthcare engineering like Applications of Robots in Surgery, Microrobots and Nanorobots in Healthcare Practices, Intelligent Walker for Posture Monitoring, AI-Powered Robots in Biomedical and Hybrid Intelligent Systems for Medical Diagnosis, and so on. Deepak Gupta is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India. Moolchand Sharma is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India. Vikas Chaudhary is a Professor at the JIMS Engineering Management Technical Campus, GGSIPU, Greater Noida, India. Ashish Khanna currently works at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India.
Book Synopsis Legged Robots that Balance by : Marc H. Raibert
Download or read book Legged Robots that Balance written by Marc H. Raibert and published by MIT Press. This book was released on 1986 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, by a leading authority on legged locomotion, presents exciting engineering and science, along with fascinating implications for theories of human motor control. It lays fundamental groundwork in legged locomotion, one of the least developed areas of robotics, addressing the possibility of building useful legged robots that run and balance. The book describes the study of physical machines that run and balance on just one leg, including analysis, computer simulation, and laboratory experiments. Contrary to expectations, it reveals that control of such machines is not particularly difficult. It describes how the principles of locomotion discovered with one leg can be extended to systems with several legs and reports preliminary experiments with a quadruped machine that runs using these principles. Raibert's work is unique in its emphasis on dynamics and active balance, aspects of the problem that have played a minor role in most previous work. His studies focus on the central issues of balance and dynamic control, while avoiding several problems that have dominated previous research on legged machines. Marc Raibert is Associate Professor of Computer Science and Robotics at Carnegie-Mellon University and on the editorial board of The MIT Press journal, Robotics Research. Legged Robots That Balanceis fifteenth in the Artificial Intelligence Series, edited by Patrick Winston and Michael Brady.
