Download or read book Cognitive Assistant Supported Human Robot Collaboration written by Cecilio Angulo and published by Elsevier. This book was released on 2024-05-29 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Assistant Supported Human-Robot Collaboration covers the design and development of cognitive assistants in the smart factory era, its application domains, challenges, and current state of the art in assistance systems with collaborative robotics and IoT technologies, standards, platforms, and solutions. This book also provides a sociotechnical view of collaborative work in human-robot teams, investigating specific methods and techniques to analyze assistance systems. This will provide readers with a comprehensive overview of how cognitive assistants function and work in human-robot teams. Introduces fundamental concepts of cognitive assistants and human-robot collaboration Investigates the optimization capabilities of human-cyber physical systems Discusses planning and implementation of cognitive assistant projects Explores concepts and design elements of human collaborative workspaces

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

Download or read book Proactive Human Robot Collaboration Toward Human Centric Smart Manufacturing written by Shufei Li and published by Elsevier. This book was released on 2024-06-03 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proactive Human–Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreciation of manufacturing scenarios where human and robotic agents can understand each other’s actions and conduct mutual-cognitive, predictable, and self-organizing teamwork. Modern factories’ smart manufacturing transformation and the evolution of relationships between humans and robots in manufacturing tasks set the scene for a discussion on the technical fundamentals of state-of-the-art proactive human–robot collaboration; these are further elaborated into the three main steps (i.e., mutual-cognitive and empathic coworking; predictable spatio-temporal collaboration; self-organizing multiagent teamwork) to achieve an advanced form of symbiotic HRC with high-level, dynamic-reasoning teamwork skills. The authors then present a deployment roadmap and several case studies, providing step-by-step guidance for real-world application of these ground-breaking methods which crucially contribute to the maturing of human-centric, sustainable, and resilient production systems. The volume proves to be an invaluable resource that supports understanding and learning for users ranging from upper undergraduate/graduate students and academic researchers to engineering professionals in a variety of industry contexts. Offers pioneering information on an industry 5.0 topic that has attracted much research interest in recent years Takes advantage of a structured and comprehensive approach to seamlessly combine theory, latest technological developments, and their practical applications Includes actionable methods, while conceptualizing future implications for smart manufacturing

Download or read book Human Robot Interaction written by Christoph Bartneck and published by Cambridge University Press. This book was released on 2020-05-07 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This broad overview for graduate students introduces multidisciplinary topics from robotics to sociology which are needed to understand the area.

Download or read book Personal Assistants Emerging Computational Technologies written by Angelo Costa and published by Springer. This book was released on 2017-08-29 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the current research in the interdisciplinary area of personal assistants (PA) and cognitively inspired systems. It discusses the most relevant topics in this highly diversified domain, like reasoning, health, personalization, robotics, and ethical and social issues. Personal assistants (PA) are a relatively new concept directed at people with cognitive or physical disabilities, and is expanding to include complex platforms such as sensors, actuators, monitoring abilities and decision processes. Designed for a general audience, it is also of interest to undergraduates, graduates and researchers involved with intelligent systems, ambient intelligence or ambient assisted living. The content goes from an introduction of the field (aimed at undergraduates and a general readership) to specific and complex architectures (aimed at graduates and researchers).

Download or read book Cognitive Human Activity and Plan Recognition for Human robot Collaboration written by Sang Uk Lee (Mechanical engineer) and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growth of the robotics field, it is expected that robots will increasingly become part of our everyday lives. Consequently, there is an emerging need for humans and robots to work together. Human-robot collaboration has become an important topic in various domains, such as home assistance and manufacturing. For effective collaboration, robots must be able to recognize human activity and plan, while determining which functions would be helpful to humans. The problem of recognizing human activity and plan, known as human activity and plan recognition (HAPR), is considered to be the main bottleneck for successful collaboration. HAPR becomes even more complex in the analysis of visual inputs, such as RGB-D images. This thesis addresses this bottleneck by investigating how to perform an efficient and accurate vision-based HAPR for fluent collaboration in real-world applications. The following limitations of state-of-the-art HAPR studies are examined in this thesis. First, although learning-based, model-free approaches are gaining significant attention owing to recent advances in deep learning, they require significant amount of training data. This makes recognition inefficient. Second, previous studies recognized human activity and plan separately and sequentially. They recognized human activity first and subsequently plan. Separate and sequential recognition cannot consider the plan context while recognizing human activity because the plan context is not available during activity recognition. However, the plan context provides useful information for activity recognition. Thus, separate and sequential recognition is inaccurate. We pose a fundamental question: Do humans share the same limitations when recognizing others' activity and plan? To answer this question, we introduce a novel problem called cognitive HAPR. Cognitive HAPR attempts to improve the HAPR system by adopting three ideas motivated by how cognitive humans perform HAPR. The first idea is to apply symbolic reasoning based on the preconditions-and-effects structure of activities, which humans understand well. For example, let us assume that a person is getting a bowl. It is intuitive to understand or assume that the person's hand must be empty, as a precondition of this activity, and the person would be holding a bowl as an effect of this activity. We propose that such intuitive preconditions-and-effects structure of activities provides valuable domain knowledge for HAPR. The second idea is the application of commonsense spatial knowledge with qualitative representations. Several cognitive science studies have shown that humans efficiently and effectively perceive their surroundings by abstracting the scene using qualitative representations. Qualitative representations are more compact and effective than quantitative data such as 6-D poses (i.e., x, y, z, roll, pitch, and yaw) of objects. We propose qualitative spatial representation (QSR), a representation framework that describes the spatial information of objects in a qualitative manner, as a good qualitative representation tool for HAPR. We effectively model complex predicates relevant to activities through QSR statements using intuitive commonsense knowledge. This modeling of predicates also provides valuable domain knowledge for HAPR. The third idea is the application of context-aware human activity recognition using a plan context. Several cognitive science studies have proven that humans recognize activity and plan as a combined framework, instead of recognizing them separately and sequentially. Humans employ the plan context when recognizing activity using the combined framework. We proposed a combined model for HAPR that captures the Bayesian theory of mind (BToM) from cognitive science. This thesis presents a cognitive HAPR system called cognitively motivated plan and activity estimation system (COMPASS) that achieves the three ideas. We evaluate COMPASS in a home care scenario, called the activities of daily life (ADL). The ADL scenario takes place in a household environment where a human and robot collaborate to complete daily tasks. We use the ADL scenario to demonstrate that COMPASS resolves the two limitations of previous HAPR studies. First, by using a model-based approach, COMPASS requires significantly less training data compared to the case using a learning-based approach. This makes COMPASS more efficient. The two ideas of applying symbolic reasoning based on the preconditions-and-effects structure of activities and commonsense spatial knowledge with qualitative representations provide good domain knowledge for model-based recognition that requires minimal modeling effort. Second, by using a combined framework, COMPASS can perform context-aware human activity recognition using the plan context. This makes COMPASS more accurate compared to the case using the sequential model.

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.

Download or read book Cognitive Robotics written by Hooman Samani and published by CRC Press. This book was released on 2015-10-16 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The kimono-clad android robot that recently made its debut as the new greeter at the entrance of Tokyo's Mitsukoshi department store is just one example of the rapid advancements being made in the field of robotics.Cognitive robotics is an approach to creating artificial intelligence in robots by enabling them to learn from and respond to real-worl

Download or read book Neural Interface for Cognitive Human Robot Interaction and Collaboration written by Hong Cheng and published by Frontiers Media SA. This book was released on 2022-03-25 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book New Frontiers in Human Robot Interaction written by Kerstin Dautenhahn and published by John Benjamins Publishing. This book was released on 2011-12-21 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human–Robot Interaction (HRI) considers how people can interact with robots in order to enable robots to best interact with people. HRI presents many challenges with solutions requiring a unique combination of skills from many fields, including computer science, artificial intelligence, social sciences, ethology and engineering. We have specifically aimed this work to appeal to such a multi-disciplinary audience. This volume presents new and exciting material from HRI researchers who discuss research at the frontiers of HRI. The chapters address the human aspects of interaction, such as how a robot may understand, provide feedback and act as a social being in interaction with a human, to experimental studies and field implementations of human–robot collaboration ranging from joint action, robots practically and safely helping people in real world situations, robots helping people via rehabilitation and robots acquiring concepts from communication. This volume reflects current trends in this exciting research field.

Download or read book Human Factors Analysis and Monitoring to Enhance Human robot Collaboration written by Akilesh Rajavenkatanarayanan and published by . This book was released on 2021 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-Machine Interaction (HMI) can be defined as a way for us to communicate with machines through user interfaces. User interfaces have evolved from complicated punch cards and levers in the first analog computers to a more natural way of interaction using speech or gestures in today's digital assistants. Technological advancements in computing devices have paved the way for smart, powerful computers to be part of our everyday lives. There is also an increasing trend of using smart computing devices and robots in manufacturing lines, medical procedures,rehabilitation, and personal care.The umbrella of HMI typically covers several areas like Human-Robot Interaction (HRI) and Human-Computer Interaction (HCI), but a new paradigm of Human Robot Collaboration (HRC) is required to cover the growing research in collaborative robots. Collaborative robots or cobots are used where humans and robots work together as a team to achieve a common goal. Such a setup requires the robot system to understand several aspects of the human partner's behavior, including their physical and mental states, based on the area of application. Advancements in wearable sensors, artificial intelligence, and robotics have made these collaborative systems smart, personalizable, and safe. Despite the abundance of research in this field, there is alack of research to understand the different human factors, such as human behavior and cognition, to create better HRC systems. The central focus of this work is to advance research in the field of human factors for HRC. It revolves in two axes that first explore the different cognitive and behavioral assessment systems and finally exploit the domain expertise gained to build a cognitive assessment system that simulates a real-world task. Different intelligent cognitive assessment systems are built that are capable of using physiological data to predict a specific cognitive ability effectively. Sensors such as Electroencephalogram(EEG), Electrocardiogram (ECG), Electrodermal Activity (EDA), and RGB camera shave been used to assess the user's state. Subsequently, physiological sensors are used in an industrial collaborative assembly scenario to predict user performance and cognitive load to enhance HRC. A collaborative system is built using advanced HMIconce pts tosimul ate a real-world scenario and collect data from human subjects. Several data, including system-specific performance metrics and multimodal sensor data, are collected to perform a data-driven evaluation of the developed HRC system for cognitive load prediction.

Download or read book Human Robot Collaboration written by Zoe Doulgeri and published by IET. This book was released on 2023-09-26 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers important advances in the area of human-robot collaboration, aiming at future industrial applications. It will be useful to advanced students, researchers, engineers and entrepreneurs working on human-robot collaboration research and technologies, and related fields.

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.

Download or read book Cognitive Systems written by Henrik Christensen and published by Springer Science & Business Media. This book was released on 2010-04-05 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design of cognitive systems for assistance to people poses a major challenge to the fields of robotics and artificial intelligence. The Cognitive Systems for Cognitive Assistance (CoSy) project was organized to address the issues of i) theoretical progress on design of cognitive systems ii) methods for implementation of systems and iii) empirical studies to further understand the use and interaction with such systems. To study, design and deploy cognitive systems there is a need to considers aspects of systems design, embodiment, perception, planning and error recovery, spatial insertion, knowledge acquisition and machine learning, dialog design and human robot interaction and systems integration. The CoSy project addressed all of these aspects over a period of four years and across two different domains of application – exploration of space and task / knowledge acquisition for manipulation. The present volume documents the results of the CoSy project. The CoSy project was funded by the European Commission as part of the Cognitive Systems Program within the 6th Framework Program.

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

Download or read book Dynamic Thinking written by Gregor Schöner and published by Oxford University Press. This book was released on 2016 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book describes a new theoretical approach--Dynamic Field Theory (DFT)--that explains how people think and act"--

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.