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A Learning Based Robot Interaction System For Multi User Activities
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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 Human-Robot Interaction Control Using Reinforcement Learning by : Wen Yu
Download or read book Human-Robot Interaction Control Using Reinforcement Learning written by Wen Yu and published by John Wiley & Sons. This book was released on 2021-10-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive exploration of the control schemes of human-robot interactions In Human-Robot Interaction Control Using Reinforcement Learning, an expert team of authors delivers a concise overview of human-robot interaction control schemes and insightful presentations of novel, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control and reinforcement learning before moving on to describe the typical environment model. The authors also describe some of the most famous identification techniques for parameter estimation. Human-Robot Interaction Control Using Reinforcement Learning offers rigorous mathematical treatments and demonstrations that facilitate the understanding of control schemes and algorithms. It also describes stability and convergence analysis of human-robot interaction control and reinforcement learning based control. The authors also discuss advanced and cutting-edge topics, like inverse and velocity kinematics solutions, H2 neural control, and likely upcoming developments in the field of robotics. Readers will also enjoy: A thorough introduction to model-based human-robot interaction control Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning Perfect for senior undergraduate and graduate students, academic researchers, and industrial practitioners studying and working in the fields of robotics, learning control systems, neural networks, and computational intelligence, Human-Robot Interaction Control Using Reinforcement Learning is also an indispensable resource for students and professionals studying reinforcement learning.
Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard
Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
Book Synopsis Human-Robot Interaction by : Daisuke Chugo
Download or read book Human-Robot Interaction written by Daisuke Chugo and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-robot interaction (HRI) is the study of interactions between people (users) and robots. HRI is multidisciplinary with contributions from the fields of human-computer interaction, artificial intelligence, robotics, speech recognition, and social sciences (psychology, cognitive science, anthropology, and human factors). There has been a great deal of work done in the area of human-robot interaction to understand how a human interacts with a computer. However, there has been very little work done in understanding how people interact with robots. For robots becoming our friends, these studies will be required more and more.
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 Robot Learning from Human Demonstration by : Sonia Dechter
Download or read book Robot Learning from Human Demonstration written by Sonia Dechter and published by Springer Nature. This book was released on 2022-06-01 with total page 109 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 Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction by : Bin Fang
Download or read book Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction written by Bin Fang and published by Frontiers Media SA. This book was released on 2021-06-08 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neptune written by Pavan Kanajar and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis describes Neptune, a mobile manipulator designed as an assistive device for task-related activities and rehabilitation of children with special needs. Neptune consists of a mobile robot base and a 6DOF robotic arm, and it is interfaced to users via Wii Remote, iPad, Neuro headset, a camera, and pressure sensors. These interfaces allow patients, therapists and operators to interact with the robot in multiple ways, as may be appropriate in assistive scenarios such as: direct physical interaction with the iPad, arm positioning exercises through Wii remote, remote navigation and object retrieval through the environment via the Neuro headset, etc. In this thesis we present an overview of the system and discuss its future uses in rehabilitation of CP children. In this thesis, we have investigated 5 different modalities of interaction with robots. Motion sensing: we present a novel algorithm to map the Wii remote motions to the mobile manipulator. This enables the user to guide the robot in a natural way by pointing the remote in a specified manner. Physical sensing: we present a novel approach to enhance human robot interactivity through the use of force feedback with the force sensors. Visual sensing: we present a novel approach to enhance interaction of mobile manipulator through the use of visual servoing and tracking. Interface devices: we present work on combining dynamic gesture based commands from an interface device to improve the intuitiveness of control and planning of a multiple degrees of freedom robot system through neural network based learning. Neural Signal Sensing: The brain activity is read and feature extraction, classification algorithms are applied to detect cognitive, affective and expressive features of the person wearing the neuro headset. These features are mapped to operate the robot. We propose an efficient way to coordinate multiple modalities sensing as generalized interface for multiple robots. Performance metrics are proposed so that we have the quantitative way to identify our interaction efficiency.
Book Synopsis Cognitive Computing for Human-Robot Interaction by : Mamta Mittal
Download or read book Cognitive Computing for Human-Robot Interaction written by Mamta Mittal and published by Academic Press. This book was released on 2021-08-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: - Introduces several new contributions to the representation and management of humans in autonomous robotic systems; - Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; - Engages with the potential repercussions of cognitive computing and HRI in the real world. - Introduces several new contributions to the representation and management of humans in an autonomous robotic system - Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society - Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario
Book Synopsis Activity Learning by : Diane J. Cook
Download or read book Activity Learning written by Diane J. Cook and published by John Wiley & Sons. This book was released on 2015-02-19 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, step-by-step information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following: Discovering activity patterns that emerge from behavior-based sensor data Recognizing occurrences of predefined or discovered activities in real time Predicting the occurrences of activities The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use. With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.
Book Synopsis Towards Affordance-Based Robot Control by : Erich Rome
Download or read book Towards Affordance-Based Robot Control written by Erich Rome and published by Springer. This book was released on 2008-02-02 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s mobile robot perception is insu?cient for acting goal-directedly in - constrained, dynamic everyday environments like a home, a factory, or a city. Subject to restrictions in bandwidth, computer power, and computation time, a robot has to react to a wealth of dynamically changing stimuli in such - vironments, requiring rapid, selective attention to decisive, action-relevant - formation of high current utility. Robust and general engineering methods for e?ectively and e?ciently coupling perception, action, and reasoning are unava- able. Interesting performance, if any, is currently only achieved by sophisticated robot programming exploiting domain features and specialties, which leaves - dinary users no chance of changing how the robot acts. The latter facts are high barriers for introducing, for example, service robots into human living or work environments. In order to overcome these barriers, additonal R&D e?orts are required. The European Commission is undert- ing a determined e?ort to fund related basic, inter-disciplinary research in a line of Strategic Objectives, including the Cognitive Systems calls in their 6th Framework Programme (FP6, [1]), and continuing in the 7th Framework P- gramme.OneofthefundedCognitiveSystemsprojectsisMACS(“multi-sensory autonomous cognitive systems interacting with dynamic environments for p- ceiving and using a?ordances”).
Book Synopsis Interactive Collaborative Robotics by : Andrey Ronzhin
Download or read book Interactive Collaborative Robotics written by Andrey Ronzhin and published by Springer. This book was released on 2018-09-10 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third International Conference on Interactive Collaborative Robotics, ICR 2018, held in Leipzig, Germany, in September 2018, as a satellite event of the 20th International Conference on Speech and Computer, SPECOM 2018. The 30 papers presented in this volume were carefully reviewed and selected from 51 submissions. The papers presents challenges of human-robot interaction, robot control and behavior in social robotics and collaborative robotics, as well as applied robotic and cyberphysical systems.
Book Synopsis Human-robot Interaction by : Michael A. Goodrich
Download or read book Human-robot Interaction written by Michael A. Goodrich and published by Now Publishers Inc. This book was released on 2007 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a unified treatment of HRI-related issues, identifies key themes, and discusses challenge problems that are likely to shape the field in the near future. The survey includes research results from a cross section of the universities, government efforts, industry labs, and countries that contribute to HRI.
Book Synopsis Rising Stars in Human-Robot Interaction by : Bilge Mutlu
Download or read book Rising Stars in Human-Robot Interaction written by Bilge Mutlu and published by Frontiers Media SA. This book was released on 2022-08-11 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Human-Robot Interaction by : Andrea Thomaz
Download or read book Computational Human-Robot Interaction written by Andrea Thomaz and published by . This book was released on 2016-12-20 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Human-Robot Interaction provides the reader with a systematic overview of the field of Human-Robot Interaction over the past decade, with a focus on the computational frameworks, algorithms, techniques, and models currently used to enable robots to interact with humans.
Book Synopsis Cognitive Computation and Systems by : Fuchun Sun
Download or read book Cognitive Computation and Systems written by Fuchun Sun and published by Springer Nature. This book was released on 2023-05-23 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented during the First International Conference on Cognitive Computation and Systems, ICCCS 2022, held in Beijing, China, in October 2022. The 31 papers were thoroughly reviewed and selected from the 75 submissions. The papers are organized in topical sections on computer vision; decision making and cognitive computation; robot and autonomous vehicle.
Book Synopsis Robot Programming by Demonstration by : Sylvain Calinon
Download or read book Robot Programming by Demonstration written by Sylvain Calinon and published by EPFL Press. This book was released on 2009-08-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in RbD have identified a number of key issues for ensuring a generic approach to the transfer of skills across various agents and contexts. This book focuses on the two generic questions of what to imitate and how to imitate and proposes active teaching methods.
