Cognitive Assistant Supported Human Robot Collaboration

Author : Cecilio Angulo
Publisher : Elsevier
ISBN 13 : 0443221367
Total Pages : 226 pages
Book Rating : 4.61/5 ( download)

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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

Author : Mamta Mittal
Publisher : Academic Press
ISBN 13 : 0323856470
Total Pages : 420 pages
Book Rating : 4.78/5 ( download)

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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

Author : Shufei Li
Publisher : Elsevier
ISBN 13 : 044313944X
Total Pages : 316 pages
Book Rating : 4.44/5 ( download)

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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

Author : Christoph Bartneck
Publisher : Cambridge University Press
ISBN 13 : 1108735401
Total Pages : 263 pages
Book Rating : 4.07/5 ( download)

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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.

Author : Angelo Costa
Publisher : Springer
ISBN 13 : 3319625306
Total Pages : 221 pages
Book Rating : 4.00/5 ( download)

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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).

Author : Sang Uk Lee (Mechanical engineer)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.03/5 ( download)

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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.

Author : Gregor Schöner
Publisher : Oxford University Press
ISBN 13 : 0199300569
Total Pages : 421 pages
Book Rating : 4.63/5 ( download)

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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"--

Author : Hooman Samani
Publisher : CRC Press
ISBN 13 : 1482244578
Total Pages : 228 pages
Book Rating : 4.71/5 ( download)

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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

Author : Erwin Prassler
Publisher : Springer Science & Business Media
ISBN 13 : 9783540232117
Total Pages : 434 pages
Book Rating : 4.17/5 ( download)

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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.

Author : Hong Cheng
Publisher : Frontiers Media SA
ISBN 13 : 288974759X
Total Pages : 149 pages
Book Rating : 4.97/5 ( download)

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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: