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Learning Socially Assistive Robot Behaviors For Personalized Human Robot Interaction
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Book Synopsis Learning Socially Assistive Robot Behaviors for Personalized Human-Robot Interaction by : Christina Moro
Download or read book Learning Socially Assistive Robot Behaviors for Personalized Human-Robot Interaction written by Christina Moro and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Caregivers play a crucial role in assisting seniors having difficulty accomplishing activities of daily living (ADLs) due to physical or cognitive limitations. A global decline in the caregiver-to-senior ratio is making it increasingly more difficult to care for these seniors. Socially assistive robots are promising alternative technologies for supporting seniors in living independently. However, limited research has gone into developing a learning-based method for designing assistive robot behaviors. This thesis aims to: (1) identify the key features necessary for assistive robots supporting seniors with cognitive impairments in completing ADLs; and (2) develop a novel behavior-learning architecture to teach robots how to display assistive behaviors using expert demonstrations and personalize these learned behaviors to the seniorâ s cognition using reinforcement learning to increase task performance. Experiments with a socially assistive robot validated the robotâ s ability to learn and personalize new behaviors to a userâ s cognition from expert demonstration using the proposed architecture.
Book Synopsis Interactive Learning and Adaptation for Personalized Robot-assisted Training by : Konstantinos Tsiakas
Download or read book Interactive Learning and Adaptation for Personalized Robot-assisted Training written by Konstantinos Tsiakas and published by . This book was released on 2019 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robot-Assisted Training (RAT) is a growing body of research in Human-Robot Interaction (HRI) that studies how robots can assist humans during a physical or cognitive training task. Robot-Assisted Training systems have a wide range of applications,varying from physical and/or social assistance in post-stroke rehabilitation to intervention and therapy for children with Autism Spectrum Disorders. The main goal of such systems is to provide a personalized and tailored session that matches user abilities and needs, by adjusting task-related parameters (e.g., task difficulty, robot behavior), in order to enhance the effects of the training session. Moreover, such systems need to adapt their training strategy based on user's affective and cognitive states. Considering the sequential nature of human-robot interactions, Reinforcement Learning (RL) is an appropriate machine learning paradigm for solving sequential decision making problems with the potential to develop adaptive robots that adjust their behavior based on human abilities, preferences and needs. This research is motivated by the challenges that arise when different types of users are considered for real-time personalization using Reinforcement Learning, in a Robot-Assisted Training scenario. To this end, we present an Interactive Learning and Adaptation Framework for Personalized Robot-Assisted Training. This framework utilizes Interactive RL (IRL)methods to facilitate the adaptation of the robot to each individual, monitoring both behavioral (task performance) and physiological data (task engagement). We discuss how task engagement can be integrated to the personalization mechanism, through Learning from Feedback. Moreover, we show how Human-in-the-Loop approaches can be used to utilize human expertise using informative control interfaces, towards a safe and tailored interaction. We illustrate this framework with a Socially Assistive Robotic (SAR) system that instructs and monitors a cognitive training task and adjusts task diculty and robot behavior, in order to provide a personalized training session. We present our data-driven approach (data collection, data analysis, user modeling and simulation), as well as a user study to evaluate our real-time SAR-based prototype system for personalized cognitive training. We discuss the limitations and challenges of our approach, as well as possible future directions, considering the different modules of the proposed system (RL-based personalization, user modeling,EEG analysis, Human-in-the-Loop). The long-term goal of this research is to develop personalized and co-adaptive human-robot interactive systems, where both agents(human, robot) adapt and learn from each other, in order to establish an efficient interaction.
Book Synopsis Human-Robot Interaction by : Céline Jost
Download or read book Human-Robot Interaction written by Céline Jost and published by Springer Nature. This book was released on 2020-05-13 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive yet critical overview of methods used to evaluate interaction between humans and social robots. It reviews commonly used evaluation methods, and shows that they are not always suitable for this purpose. Using representative case studies, the book identifies good and bad practices for evaluating human-robot interactions and proposes new standardized processes as well as recommendations, carefully developed on the basis of intensive discussions between specialists in various HRI-related disciplines, e.g. psychology, ethology, ergonomics, sociology, ethnography, robotics, and computer science. The book is the result of a close, long-standing collaboration between the editors and the invited contributors, including, but not limited to, their inspiring discussions at the workshop on Evaluation Methods Standardization for Human-Robot Interaction (EMSHRI), which have been organized yearly since 2015. By highlighting and weighing good and bad practices in evaluation design for HRI, the book will stimulate the scientific community to search for better solutions, take advantages of interdisciplinary collaborations, and encourage the development of new standards to accommodate the growing presence of robots in the day-to-day and social lives of human beings.
Download or read book Social Robotics written by Michael Beetz and published by Springer. This book was released on 2014-10-17 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Social Robotics, ICSR 2014, held in Sydney, NSW, Australia, in October 2014. The 41 revised full papers presented in this book were carefully reviewed and selected from numerous submissions. Amongst others, topics covered are such as interaction and collaboration among robots, humans, and environments; robots to assist the elderly and persons with disabilities; socially assistive robots to improve quality of life; affective and cognitive sciences for socially interactive robots; personal robots for the home; social acceptance and impact in the society; robot ethics in human society and legal implications; context awareness, expectation, and intention understanding; control architectures for social robotics; socially appealing design methodologies; safety in robots working in human spaces; human augmentation, rehabilitation, and medical robots; robot applications in education, entertainment, and gaming; knowledge representation and reasoning frameworks for robot social intelligence; cognitive architectures that support social intelligence for robots; robots in the workplace; human-robot interaction; creative and entertaining robots.
Book Synopsis A Learning Based Robot Interaction System for Multi-User Activities by : Wing-Yue Geoffrey Louie
Download or read book A Learning Based Robot Interaction System for Multi-User Activities written by Wing-Yue Geoffrey Louie and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The population of the world is rapidly aging and there is presently an increasing demand for residential care facilities to provide care for older adults. Understimulation can be a major concern in such facilities due to high resident-to-staff ratios and a decreasing number of healthcare staff to facilitate cognitive, social, and physical activities for older adults. Currently, socially assistive robots are being developed to assist in providing such stimulation. However, the existing robots are limited to only facilitating a set of activities that have been pre-programmed on the robot and cannot be customized to the needs of a facility. Furthermore, the majority consider only one-on-one activities, rather than providing stimulation to groups of users at the same time. This thesis focused on developing a learning based interaction system for socially assistive robots to: 1) autonomously facilitate multi-user activities while providing individualized assistance; 2) learn new customized activities from caregivers; and 3) personalize robot assistive behaviours to obtain user compliance. Numerous human-robot interaction experiments were conducted with the system integrated into the socially assistive robot Tangy for the multi-user activity of Bingo. The participants for the experiments consisting of caregivers and older adults. The results showed that: 1) participants had positive attitudes towards interacting with the robot and found it easy to use, 2) older adults were engaged during the activity and complied with the robotâ s behaviours, and 3) caregivers were able to successfully teach a new activity to the robot with moderately low perceived workload.
Book Synopsis Trust in Human-Robot Interaction by : Chang S. Nam
Download or read book Trust in Human-Robot Interaction written by Chang S. Nam and published by Academic Press. This book was released on 2020-11-17 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trust in Human-Robot Interaction addresses the gamut of factors that influence trust of robotic systems. The book presents the theory, fundamentals, techniques and diverse applications of the behavioral, cognitive and neural mechanisms of trust in human-robot interaction, covering topics like individual differences, transparency, communication, physical design, privacy and ethics. - Presents a repository of the open questions and challenges in trust in HRI - Includes contributions from many disciplines participating in HRI research, including psychology, neuroscience, sociology, engineering and computer science - Examines human information processing as a foundation for understanding HRI - Details the methods and techniques used to test and quantify trust in HRI
Book Synopsis Human-Robot Interaction in Social Robotics by : Takayuki Kanda
Download or read book Human-Robot Interaction in Social Robotics written by Takayuki Kanda and published by CRC Press. This book was released on 2017-12-19 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human–Robot Interaction in Social Robotics explores important issues in designing a robot system that works with people in everyday environments. Edited by leading figures in the field of social robotics, it draws on contributions by researchers working on the Robovie project at the ATR Intelligent Robotics and Communication Laboratories, a world leader in humanoid interactive robotics. The book brings together, in one volume, technical and empirical research that was previously scattered throughout the literature. Taking a networked robot approach, the book examines how robots work in cooperation with ubiquitous sensors and people over telecommunication networks. It considers the use of social robots in daily life, grounding the work in field studies conducted at a school, train station, shopping mall, and science museum. Critical in the development of network robots, these usability studies allow researchers to discover real issues that need to be solved and to understand what kinds of services are possible. The book tackles key areas where development is needed, namely, in sensor networks for tracking humans and robots, humanoids that can work in everyday environments, and functions for interacting with people. It introduces a sensor network developed by the authors and discusses innovations in the Robovie humanoid, including several interactive behaviors and design policies. Exploring how humans interact with robots in daily life settings, this book offers valuable insight into how robots may be used in the future. The combination of engineering, empirical, and field studies provides readers with rich information to guide in developing practical interactive robots.
Download or read book Social Robotics written by Arvin Agah and published by Springer. This book was released on 2016-10-06 with total page 1038 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Social Robotics, ICSR 2016, held in Kansas City, MO, USA, in November 2016. The 98 revised full papers presented were carefully reviewed and selected from 107 submissions. The theme of the 2016 conference is Sociorobotics: Design and implementation of social behaviors of robots interacting with each other and humans. In addition to technical sessions, ICSR 2016 included three workshops: The Synthetic Method in Social Robotics (SMSR 2016), Social Robots: A Tool to Advance Interventions for Autism, and Using Social Robots to Improve the Quality of Life in the Elderly.
Book Synopsis Enabling Longitudinal Personalized Behavior Adaptation for Cognitively Assistive Robots by : Alyssa Kubota
Download or read book Enabling Longitudinal Personalized Behavior Adaptation for Cognitively Assistive Robots written by Alyssa Kubota and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitively assistive robots have great potential to improve the accessibility of healthcare services by extending existing clinical interventions to a person's home. This provides a variety of benefits, including extending the reach of professional services, allowing people to engage with these interventions at their own convenience, and reducing risk of exposure to illness at clinics. However, there are many obstacles to deploying these robots longitudinally and autonomously, particularly for populations with lower technology literacy such as older adults. These obstacles include enabling robots to leverage the expert domain knowledge of clinicians and other stakeholders, contextualizing the robot and intervention to the lives of users, and understanding and adapting to a person's intervention preferences and goals. The goal of my work is to design robots that can continuously learn from and adapt to people in real-world environments, which I explore in the context of delivering neurorehabilitation to people with cognitive impairments. In this dissertation, I will describe three main contributions of my work. First, I developed new methods to recognize complex motion reflective of real-world activities to enable robots to accurately understand human intention. Recognizing human activity can help robots understand a person's state and their reactions to its behavior. My work revealed the complementary strengths of two common sensor modalities for recognizing gross and fine motion, which can be leveraged to recognize complex activities and help robots better understand human intention. In addition, I designed a novel deep learning architecture for recognizing fine motion using nonvisual sensors, enabling robots to recognize human activity in dynamic, privacy sensitive settings such as homes. Second, I developed the first robotic system (JESSIE) which makes control synthesis accessible to novice programmers, allowing clinicians to quickly and easily specify complex robot behaviors through a tangible specification interface. Clinicians can provide robots with valuable domain and personal knowledge which can inform its behavior. My work revealed key insights regarding how robots can learn and adapt to people with cognitive impairments longitudinally at home. JESSIE makes control synthesis more accessible to novice programmers, enabling stakeholders to imbue robots with their domain knowledge and extend the reach of their work. Third, I developed an autonomous robot (CARMEN) which extends clinical interventions to the home, and longitudinally supports goal progress and motivation. In collaboration with clinicians and people with cognitive impairments, I identified interaction design patterns for translating clinical interventions to robots in order to maintain longitudinal engagement and maximize efficacy. Furthermore, I developed a new framework for roboticists creating longitudinal, robot-delivered health interventions with collaborative goal setting capabilities. My work lays the foundation for enabling robots to support motivation and goal achievement throughout a longitudinal intervention at home. My research contributes to building robotic systems which can longitudinally personalize their behavior to people in real-world environments. My work will transform how robots longitudinally interact with people, with the ultimate goal of enabling more safe and effective human-robot interaction, particularly for underserved populations.
Book Synopsis Robot Learning from Human Teachers by : Sonia Chernova
Download or read book Robot Learning from Human Teachers written by Sonia Chernova and published by Morgan & Claypool Publishers. This book was released on 2014-04-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus on the unique technical challenges associated with designing robots that learn from naive human teachers. We begin, in the introduction, with a unification of the various terminology seen in the literature as well as an outline of the design choices one has in designing an LfD system. Chapter 2 gives a brief survey of the psychology literature that provides insights from human social learning that are relevant to designing robotic social learners. Chapter 3 walks through an LfD interaction, surveying the design choices one makes and state of the art approaches in prior work. First, is the choice of input, how the human teacher interacts with the robot to provide demonstrations. Next, is the choice of modeling technique. Currently, there is a dichotomy in the field between approaches that model low-level motor skills and those that model high-level tasks composed of primitive actions. We devote a chapter to each of these. Chapter 7 is devoted to interactive and active learning approaches that allow the robot to refine an existing task model. And finally, Chapter 8 provides best practices for evaluation of LfD systems, with a focus on how to approach experiments with human subjects in this domain.
Book Synopsis Designing Robot Behavior in Human-Robot Interactions by : Changliu Liu
Download or read book Designing Robot Behavior in Human-Robot Interactions written by Changliu Liu and published by CRC Press. This book was released on 2019-09-12 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, we have set up a unified analytical framework for various human-robot systems, which involve peer-peer interactions (either space-sharing or time-sharing) or hierarchical interactions. A methodology in designing the robot behavior through control, planning, decision and learning is proposed. In particular, the following topics are discussed in-depth: safety during human-robot interactions, efficiency in real-time robot motion planning, imitation of human behaviors from demonstration, dexterity of robots to adapt to different environments and tasks, cooperation among robots and humans with conflict resolution. These methods are applied in various scenarios, such as human-robot collaborative assembly, robot skill learning from human demonstration, interaction between autonomous and human-driven vehicles, etc. Key Features: Proposes a unified framework to model and analyze human-robot interactions under different modes of interactions. Systematically discusses the control, decision and learning algorithms to enable robots to interact safely with humans in a variety of applications. Presents numerous experimental studies with both industrial collaborative robot arms and autonomous vehicles.
Book Synopsis Robot-Assisted Learning and Education by : Agnese Augello
Download or read book Robot-Assisted Learning and Education written by Agnese Augello and published by Frontiers Media SA. This book was released on 2021-01-04 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Personalized Human-Robot Interaction Based on Multimodal Perceptual Cues by : Sarwar Paplu
Download or read book Personalized Human-Robot Interaction Based on Multimodal Perceptual Cues written by Sarwar Paplu and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Editorial: Towards Real World Impacts: Design, Development, and Deployment of Social Robots in the Wild by : Chung Hyuk Park
Download or read book Editorial: Towards Real World Impacts: Design, Development, and Deployment of Social Robots in the Wild written by Chung Hyuk Park and published by Frontiers Media SA. This book was released on 2021-01-19 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Human-Robot Interaction by : Erwin Prassler
Download or read book Advances in Human-Robot Interaction written by Erwin Prassler and published by Springer Science & Business Media. This book was released on 2004-10-27 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Advances in Human-Robot Interaction" provides a unique collection of recent research in human-robot interaction. It covers the basic important research areas ranging from multi-modal interfaces, interpretation, interaction, learning, or motion coordination to topics such as physical interaction, systems, and architectures. The book addresses key issues of human-robot interaction concerned with perception, modelling, control, planning and cognition, covering a wide spectrum of applications. This includes interaction and communication with robots in manufacturing environments and the collaboration and co-existence with assistive robots in domestic environments. Among the presented examples are a robotic bartender, a new programming paradigm for a cleaning robot, or an approach to interactive teaching of a robot assistant in manufacturing environment. This carefully edited book reports on contributions from leading German academic institutions and industrial companies brought together within MORPHA, a 4 year project on interaction and communication between humans and anthropomorphic robot assistants.
Book Synopsis Social Robots from a Human Perspective by : Jane Vincent
Download or read book Social Robots from a Human Perspective written by Jane Vincent and published by Springer. This book was released on 2015-05-08 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive overview of the human dimension of social robots by discussing both transnational features and national peculiarities. Addressing several issues that explore the human side of social robots, this book investigates what a social robot is and how we might come to think about social robots in the different areas of everyday life. Organized around three sections that deal with Perceptions and Attitudes to Social Robots, Human Interaction with Social Robots, and Social Robots in Everyday Life, it explores the idea that even if the challenges of robot technologies can be overcome from a technological perspective, the question remains as to what kind of machine we want to have and use in our daily lives. Lessons learned from previous widely adopted technologies, such as smartphones, indicate that robot technologies could potentially be absorbed into the everyday lives of humans in such a way that it is the human that determines the human-machine interaction. In a similar way to how today’s information and communication technologies were initially designed for professional/industrial use, but were soon commercialized for the mass market and then personalized by humans in the course of daily practice, the use of social robots is now facing the same revolution of ‘domestication.’ In the context of this transformation, which involves the profound embedding of robots in everyday life, the ‘human’ aspect of social robots will play a major part. This book sheds new light on this highly topical issue, one of the central subjects that will be taught and studied at universities worldwide and that will be discussed widely, publicly and repeatedly in the near future.
Book Synopsis Development of a Low-cost Social Robot for Personalized Human-robot Interaction by : Christian G. Puehn
Download or read book Development of a Low-cost Social Robot for Personalized Human-robot Interaction written by Christian G. Puehn and published by . This book was released on 2015 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents two social robotic platforms, Philos V.1 and Philos V.2, which are designed for personalized human-robot interaction (HRI). Personalized HRI is realized through programmable expressive (i.e. gestures and sound/speech generation) and perceptive functions (i.e. human face tracking and recognition, touch detection, and speech recognition) of the robots. In addition, a wearable sensor device was developed for integration with these social robots to further improve the health monitoring and assessment functions of the robots as well as personalizing the robot's social behavior based on the user's biobehavioral data. Among the many potential applications of a social robot, this thesis focuses on elderly healthcare where positive health outcomes are expected by providing companionship, assisting with daily activities, and monitoring health status.
