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Human Robot Interaction Via Voice Controllable Intelligent User Interface


Human Robot Interaction Via Voice Controllable Intelligent User Interface
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Human Robot Interaction Via Voice Controllable Intelligent User Interface


Human Robot Interaction Via Voice Controllable Intelligent User Interface
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Author : Harsha Medicherla
language : en
Publisher:
Release Date : 2006

Human Robot Interaction Via Voice Controllable Intelligent User Interface written by Harsha Medicherla and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Human-computer interaction categories.




Human Robot Interaction


Human Robot Interaction
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Author : Daisuke Chugo
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-02-01

Human Robot Interaction written by Daisuke Chugo and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-01 with Technology & Engineering categories.


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.



Human Robot Interaction With Cloud Assisted Voice Control And Vision System


Human Robot Interaction With Cloud Assisted Voice Control And Vision System
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Author : Ravi Patel
language : en
Publisher:
Release Date : 2019

Human Robot Interaction With Cloud Assisted Voice Control And Vision System written by Ravi Patel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


The objective of this research is to investigate a way of interaction between humans and robots, which is through voice or speech commands. A Biomimetic Artificial Hand (BAH) is used as a platform to perform grasping tasks using human voice as an interacting and instructing medium between humans and robots. It is a hands-free approach of issuing commands to the BAH since it does not require the user to wear any specialized equipment. Previous research has shown diffculties in recognizing more than one word, database management for stored voice, and requirement of sufficient computing power. National Instruments software LabVIEW and hardware my RIO are used as the interface between the user and BAH. The concept of using cloud application services is applied, which is based on using the speech recognition Application Program Interface (API) by Microsoft which accepts a verbal command, transfers to the cloud for further processing and returns the command in string (text) form. This approach reduces the use of local computing power requirements and yields fast and accurate speech recognition (SR). A vision system is also incorporated as a a safety feature to verify the presence of the correct object in the work space. The string results returned from the API is further locally processed to identify the action to perform, object, object identifiers (number, color, size) and grasping pattern of object from the existing database. Voice command evaluation performed on the hardware platform with a biomimetic artificial hand indicates that the proposed interaction modality could be advantageously employed for successfully instructing or interacting with a robotic device.



Human Robot Interaction Control Using Reinforcement Learning


Human Robot Interaction Control Using Reinforcement Learning
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Author : Wen Yu
language : en
Publisher: John Wiley & Sons
Release Date : 2021-10-06

Human Robot Interaction Control Using Reinforcement Learning written by Wen Yu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-06 with Technology & Engineering categories.


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.



Human Robot Interaction


Human Robot Interaction
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Author : Ramana Vinjamuri
language : en
Publisher: BoD – Books on Demand
Release Date : 2023-05-10

Human Robot Interaction written by Ramana Vinjamuri and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-10 with Computers categories.


The book Human-Robot Interaction - Perspectives and Applications highlights the latest developments and obstacles in the field of human-machine interaction, including collaborative and humanoid robots, symbiosis between humans and robots, human-human collaboration, and robotics. Human-robot interaction has immense potential in areas like healthcare, education, manufacturing, military, and space exploration. This volume consists of several chapters that explore various topics such as the use of robotic wheelchairs, deep neural networks for robot grasp recognition, materials and sensors required for human-robot interaction, the use of drone technology in agriculture, healthcare robots in smart hospitals, and more.



Robot Learning Human Skills And Intelligent Control Design


Robot Learning Human Skills And Intelligent Control Design
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Author : Chenguang Yang
language : en
Publisher: CRC Press
Release Date : 2021-06-21

Robot Learning Human Skills And Intelligent Control Design written by Chenguang Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-21 with Computers categories.


In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks. Especially, robots are supposed to be able to learn manipulation skills from humans. To this end, a number of learning algorithms and techniques have been developed and successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and efficiently acquire skills by learning from human demonstrators, such that a robot can be quickly programmed to perform a new task. This book introduces recent results on the development of advanced LfD-based learning and control approaches to improve the robot dexterous manipulation. First, there's an introduction to the simulation tools and robot platforms used in the authors' research. In order to enable a robot learning of human-like adaptive skills, the book explains how to transfer a human user’s arm variable stiffness to the robot, based on the online estimation from the muscle electromyography (EMG). Next, the motion and impedance profiles can be both modelled by dynamical movement primitives such that both of them can be planned and generalized for new tasks. Furthermore, the book introduces how to learn the correlation between signals collected from demonstration, i.e., motion trajectory, stiffness profile estimated from EMG and interaction force, using statistical models such as hidden semi-Markov model and Gaussian Mixture Regression. Several widely used human-robot interaction interfaces (such as motion capture-based teleoperation) are presented, which allow a human user to interact with a robot and transfer movements to it in both simulation and real-word environments. Finally, improved performance of robot manipulation resulted from neural network enhanced control strategies is presented. A large number of examples of simulation and experiments of daily life tasks are included in this book to facilitate better understanding of the readers.



Speech And Automata In Health Care


Speech And Automata In Health Care
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Author : Amy Neustein
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2014-11-10

Speech And Automata In Health Care written by Amy Neustein and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-10 with Technology & Engineering categories.


Examines various speech technologies deployed in healthcare service robots to maximize the robot's ability to interpret user input. Demonstrates how robot anthropomorphic features and etiquette in behavior promotes user-positive emotions, acceptance of robots, and compliance with robot requests. Analyzes how multimodal medical-service robots and other cyber-physical systems can reduce mistakes and mishaps in the operating room. Evaluates various input methods for improving acceptance of robots in the older adult population. Presents case studies of cognitively and socially engaging robots in the long-term care setting for helping older adults with activities of daily living and in the pediatric setting for helping children with autism spectrum conditions and metabolic disorders. Speech and Automata in Health Care forges new ground by closely analyzing how three separate disciplines - speech technology, robotics, and medical/surgical/assistive care - intersect with one another, resulting in an innovative way of diagnosing and treating both juvenile and adult illnesses and conditions. This includes the use of speech-enabled robotics to help the elderly population cope with common problems associated with aging caused by the diminution in their sensory, auditory and motor capabilities. By examining the emerging nexus of speech, automata, and health care, the authors demonstrate the exciting potential of automata, both speech-driven and multimodal, to affect the healthcare delivery system so that it better meets the needs of the populations it serves. This book provides both empirical research findings and incisive literature reviews that demonstrate some of the more novel uses of speech-enabled and multimodal automata in the operating room, hospital ward, long-term care facility, and in the home. Studies backed by major universities, research institutes, and by EU-funded collaborative projects are debuted in this volume. This volume provides a wealth of timely material for industrial engineers, speech scientists, computational linguists, and for signal processing and intelligent systems design experts. Topics include: Spoken Interaction with Healthcare Robots Service Robot Feature Effects on Patient Acceptance/Emotional Response Designing Embodied and Virtual Agents for the Operating Room The Emerging Role of Robotics for Personal Health Management in the Older-Adult Population Why Input Methods for Robots that Serve the Older Adult Are Critical for Usability Socially and Cognitively Engaging Robots in the Long-Term Care Setting Voice-Enabled Assistive Robots for Managing Autism Spectrum Conditions ASR and TTS for Voice-Controlled Robot Interactions in Treating Children with Metabolic Disorders



Mixed Reality And Human Robot Interaction


Mixed Reality And Human Robot Interaction
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Author : Xiangyu Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-02-24

Mixed Reality And Human Robot Interaction written by Xiangyu Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-24 with Technology & Engineering categories.


MR technologies play an increasing role in different aspects of human-robot interactions. The visual combination of digital contents with real working spaces creates a simulated environment that is set out to enhance these aspects. This book presents and discusses fundamental scientific issues, technical implementations, lab testing, and industrial applications and case studies of Mixed Reality in Human-Robot Interaction. It is a reference book that not only acts as meta-book in the field that defines and frames Mixed Reality use in Human-Robot Interaction, but also addresses up-coming trends and emerging directions of the field. This volume offers a comprehensive reference volume to the state-of-the-art in the area of MR in Human-Robot Interaction, an excellent mix of contributions from leading researcher/experts in multiple disciplines from academia and industry. All authors are experts and/or top researchers in their respective areas and each of the chapters has been rigorously reviewed for intellectual contents by the editorial team to ensure a high quality. This book provides up-to-date insight into the current research topics in this field as well as the latest technological advancements and the best working examples.



Human In The Loop Learning And Control For Robot Teleoperation


Human In The Loop Learning And Control For Robot Teleoperation
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Author : Chenguang Yang
language : en
Publisher: Elsevier
Release Date : 2023-04-06

Human In The Loop Learning And Control For Robot Teleoperation written by Chenguang Yang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Computers categories.


Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect. Introduces research progress and technical contributions on teleoperation robots, including intelligent human-robot interactions and learning and control algorithms for teleoperation Presents control strategies and learning algorithms to a teleoperation framework to enhance human-robot shared control, bi-directional perception and intelligence of the teleoperation system Discusses several control and learning methods, describes the working implementation and shows how these methods can be applied to a specific and practical teleoperation system



Human Robot Interaction In Social Robotics


Human Robot Interaction In Social Robotics
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Author : Takayuki Kanda
language : en
Publisher: CRC Press
Release Date : 2017-12-19

Human Robot Interaction In Social Robotics written by Takayuki Kanda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.


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.