Search results for: designing-robots-designing-humans

Designing Robots Designing Humans

Author : Cathrine Hasse
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Whilst most research concentrates on the imagined future of robotics, this book brings together a group of international researchers to explore the different ways that robots and humans engage with one another at this point in history. Robotic design is advancing at an incredible pace, and consequently the role of robots has expanded beyond mechanical work in the industrial sector to the social and domestic environment. From kitchen table pets in the shape of dinosaurs or baby seals, to robot arms that assist with eating, to self-driving cars, this book explores the psychological impact of robotic engagement, especially in domestic settings. Each chapter explores a different aspect of humanoid robotics, for example, the relationship between robotics and gender, citizenship, moral agency, ethics, inequality, and psychological development, as well as exploring the growing role of robots in education, care work, and intimate relationships. Drawing on research from across the fields of psychology, anthropology, and philosophy, this ground-breaking volume discusses the emerging social side of robotics. By examining our relationship with robots now, this book offers a new and innovative opportunity for understanding our future with robots and robotic culture. Designing Robots, Designing Humans will be interest to researchers of artificial intelligence and humanoid robotics, as well as researchers from cognitive and social psychology, philosophy, computer science, anthropology, linguistics, and engineering backgrounds.

Human Robot Interaction

Author : Dan Zhang
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This book introduces state-of-the-art technologies in the field of human-robot interactions. It details advances made in this field in recent decades, including dynamics, controls, design analysis, uncertainties, and modelling. The text will appeal to graduate students, practitioners and researchers in the fields of robotics, computer and cognitive science, and mechanical engineering.

Designing Robot Behavior in Human Robot Interactions

Author : Changliu Liu
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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.

Emotional Design in Human Robot Interaction

Author : Hande Ayanoğlu
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While social robots participation increases in everyday human life, their presence in diverse contexts and situations is expected. At the same point, users tend to become more demanding regarding their roles, abilities, behaviour and appearance. Thus, designers and developers are confronted with the need to design more sophisticated robots that can produce such a positive reaction from users so as to become well accepted in various cases of use. Like this, Human-Robot Interaction has become a developing area. Emotions are an important part in human life, since they mediate the interaction with other humans, entities and/or products. In recent years, there has been an increase in the importance of emotions applied to the design field, giving rise to the so-called Emotional Design area. In the case of Human-Robot Interaction, the emotional design can help to elicit (e.g., pleasurable) or prevent (e.g., unpleasant) emotional/affective reactions/responses. This book gives a practical introduction to emotional design in human-robot interaction and supports designers with knowledge and research tools to help them take design decisions based on a User-Centred Design approach. It should also be useful to people interested in design processes, even if not directly related to the design of social robots but, instead, to other technology-based artefacts. The text is meant as a reference source with practical guidelines and advice for design issues.

Designing Effective Communication Strategies for Human robot Collaboration

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Technological advancements are enabling robots to begin working together with humans as partners on physical tasks. To design these collaborative robots to work effectively with their human counterparts, we must first understand what expectations and perceptions people have of these robots. With this understanding, we can then design collaborative behaviors that meet those needs, enabling collaborative robots to be more effective partners. In this dissertation, I aim to address questions that will allow us to design more effective collaborative robots. For example, what do interactions look like when a collaborative robot is introduced into a human environment? How do human partners perceive this robot? What collaborative behaviors would be useful for these collaborations? For those behaviors we would like to design, can we build models by hand from human-human data? From these models, can we make recommendations for how collaborative robots should employ these behaviors? This dissertation seeks to answer these questions through four studies. The first study examines three manufacturing sites that have adopted collaborative robots in their workflow, using interviews and observations to assess the current status of collaborative robots and provide recommendations about future designs. The remaining three studies, inspired by scenarios similar to the one in the first study, each focus on a specific behavioral cue: speech patterns, teaching and repair, and deictic gestures. Those studies which focus on a specific behavioral cue use human-human data to inform models of behavior that can then be implemented on a robot and tested in a human-robot evaluation, examining the impact of the model on multiple task outcomes. The contributions of this work are an understanding of real-world collaborative behaviors, conceptual models of human collaborative behaviors, a contextualization of these behaviors and an understanding of their role in facilitating interactions, and tools to facilitate developing and testing human-robot collaborations. These contributions help to inform the design and implementation of future iterations of collaborative robots.

Service Robots and Robotics Design and Application

Author : Ceccarelli, Marco
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"This book offers the latest research within the field of service robotics, using a mixture of case studies, research, and future direction in this burgeoning field of technology"--

Modelling Human Motion

Author : Nicoletta Noceti
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The new frontiers of robotics research foresee future scenarios where artificial agents will leave the laboratory to progressively take part in the activities of our daily life. This will require robots to have very sophisticated perceptual and action skills in many intelligence-demanding applications, with particular reference to the ability to seamlessly interact with humans. It will be crucial for the next generation of robots to understand their human partners and at the same time to be intuitively understood by them. In this context, a deep understanding of human motion is essential for robotics applications, where the ability to detect, represent and recognize human dynamics and the capability for generating appropriate movements in response sets the scene for higher-level tasks. This book provides a comprehensive overview of this challenging research field, closing the loop between perception and action, and between human-studies and robotics. The book is organized in three main parts. The first part focuses on human motion perception, with contributions analyzing the neural substrates of human action understanding, how perception is influenced by motor control, and how it develops over time and is exploited in social contexts. The second part considers motion perception from the computational perspective, providing perspectives on cutting-edge solutions available from the Computer Vision and Machine Learning research fields, addressing higher-level perceptual tasks. Finally, the third part takes into account the implications for robotics, with chapters on how motor control is achieved in the latest generation of artificial agents and how such technologies have been exploited to favor human-robot interaction. This book considers the complete human-robot cycle, from an examination of how humans perceive motion and act in the world, to models for motion perception and control in artificial agents. In this respect, the book will provide insights into the perception and action loop in humans and machines, joining together aspects that are often addressed in independent investigations. As a consequence, this book positions itself in a field at the intersection of such different disciplines as Robotics, Neuroscience, Cognitive Science, Psychology, Computer Vision, and Machine Learning. By bridging these different research domains, the book offers a common reference point for researchers interested in human motion for different applications and from different standpoints, spanning Neuroscience, Human Motor Control, Robotics, Human-Robot Interaction, Computer Vision and Machine Learning. Chapter 'The Importance of the Affective Component of Movement in Action Understanding' of this book is available open access under a CC BY 4.0 license at link.springer.com.

Hello Robot

Author : Christoph Thun-Hohenstein
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"Only a few decades ago the robot was still just a figure of science fiction. Nowadays, however, robots and robotic systems seem to be taking over our lives. Design has a key role to play in this process, for it is designers who shape the interface between humans and machines. Hello, Robot. shows intelligent machines in industry and in the military, in children's rooms and retirement homes, in shopping and sex, in art, computers games and of course films an literature. Detailed essays and interviews examine how we respond to our increasingly digital, smart, and autnonmous environment. They illuminate our - often ambivalent - relationship with these new technologies and broaden our view of the ethical and political questions they raise. With contributions and works by Douglas Coupland, Dunne & Raby, Gesche Joost, robotlob, Bruce sterling, and many others."--Page 4 de la couverture.

Robot Learning from Human Teachers

Author : Sonia Chernova
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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.

Advances in Robot Design and Intelligent Control

Author : Aleksandar Rodić
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This book presents the proceedings of the 25th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2016 held in Belgrade, Serbia, on June 30th–July 2nd, 2016. In keeping with the tradition of the event, RAAD 2016 covered all the important areas of research and innovation in new robot designs and intelligent robot control, with papers including Intelligent robot motion control; Robot vision and sensory processing; Novel design of robot manipulators and grippers; Robot applications in manufacturing and services; Autonomous systems, humanoid and walking robots; Human–robot interaction and collaboration; Cognitive robots and emotional intelligence; Medical, human-assistive robots and prosthetic design; Robots in construction and arts, and Evolution, education, legal and social issues of robotics. For the first time in RAAD history, the themes cloud robots, legal and ethical issues in robotics as well as robots in arts were included in the technical program. The book is a valuable resource for researchers in fields of robotics, engineers who implement robotic solutions in manufacturing, services and healthcare, and master’s and Ph.D. students working on robotics projects.

ROMANSY 16

Author : Teresa Zielinska
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The aim of this publication is to present the research results in robotics that are now state-of-the-art, and indicate the possible future lines of development. To effectively work and cooperate with us, robots must exhibit abilities that are comparable to those of humans. The book describes the ongoing efforts to design and develop human-friendly robotic systems that can safely and effectively interact and work with humans.

Human Interface and the Management of Information Methods Techniques and Tools in Information Design

Author : Michael J. Smith
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This is the first of a two-volume set that constitutes the refereed proceedings of the Symposium on Human Interface 2007, held in Beijing, China in July 2007. It covers design and evaluation methods and techniques, visualizing information, retrieval, searching, browsing and navigation, development methods and techniques, as well as advanced interaction technologies and techniques.

Advances in Robot Design and Intelligent Control

Author : Theodor Borangiu
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This volume includes the Proceedings of the 24th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2015, which was held in Bucharest, Romania, on May 27-29, 2015. The Conference brought together academic and industry researchers in robotics from the 11 countries affiliated to the Alpe-Adria-Danube space: Austria, Croatia, Czech Republic, Germany, Greece, Hungary, Italy, Romania, Serbia, Slovakia and Slovenia, and their worldwide partners. According to its tradition, RAAD 2015 covered all important areas of research, development and innovation in robotics, including new trends such as: bio-inspired and cognitive robots, visual servoing of robot motion, human-robot interaction, and personal robots for ambient assisted living. The accepted papers have been grouped in nine sessions: Robot integration in industrial applications; Grasping analysis, dexterous grippers and component design; Advanced robot motion control; Robot vision and sensory control; Human-robot interaction and collaboration; Modelling and design of novel mechanisms and robotic structures; Robots in medicine and rehabilitation; Tracking systems and Unmanned Aerial Vehicles; Autonomous task learning, motion planning and scheduling.

ROMANSY 23 Robot Design Dynamics and Control

Author : Gentiane Venture
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ROMANSY 18 Robot Design Dynamics and Control

Author : Werner Schiehlen
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The papers in this volume provide a vision of the evolution of the robotics disciplines and indicate new directions in which these disciplines are foreseen to develop. Paper topics include, but are not limited to, novel robot design and robot modules/components, service, education, medical, space, welfare and rescue robots, humanoid robots, bio-robotics, multi-robot, embodied multi-agent systems, challenges in control, modeling, kinematical and dynamical analysis of robotic systems, innovations in sensor systems for robots and perception, and recent advances in robotics. In particular, many contributions on humanoid robots from leading Japanese researchers are included.

Understanding Social Signals How Do We Recognize the Intentions of Others

Author : Sebastian Loth
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Powerful and economic sensors such as high definition cameras and corresponding recognition software have become readily available, e.g. for face and motion recognition. However, designing user interfaces for robots, phones and computers that facilitate a seamless, intuitive, and apparently effortless communication as between humans is still highly challenging. This has shifted the focus from developing ever faster and higher resolution sensors to interpreting available sensor data for understanding social signals and recognising users' intentions. Psychologists, Ethnologists, Linguists and Sociologists have investigated social behaviour in human-human interaction. But their findings are rarely applied in the human-robot interaction domain. Instead, robot designers tend to rely on either proof-of-concept or machine learning based methods. In proving the concept, developers effectively demonstrate that users are able to adapt to robots deployed in the public space. Typically, an initial period of collecting human-robot interaction data is used for identifying frequently occurring problems. These are then addressed by adjusting the interaction policies on the basis of the collected data. However, the updated policies are strongly biased by the initial design of the robot and might not reflect natural, spontaneous user behaviour. In the machine learning approach, learning algorithms are used for finding a mapping between the sensor data space and a hypothesised or estimated set of intentions. However, this brute-force approach ignores the possibility that some signals or modalities are superfluous or even disruptive in intention recognition. Furthermore, this method is very sensitive to peculiarities of the training data. In sum, both methods cannot reliably support natural interaction as they crucially depend on an accurate model of human intention recognition. Therefore, approaches to social robotics from engineers and computer scientists urgently have to be informed by studies of intention recognition in natural human-human communication. Combining the investigation of natural human behaviour and the design of computer and robot interfaces can significantly improve the usability of modern technology. For example, robots will be easier to use by a broad public if they can interpret the social signals that users spontaneously produce for conveying their intentions anyway. By correctly identifying and even anticipating the user's intention, the user will perceive that the system truly understands her/his needs. Vice versa, if a robot produces socially appropriate signals, it will be easier for its users to understand the robot's intentions. Furthermore, studying natural behaviour as a basis for controlling robots and other devices results in greater robustness, responsiveness and approachability. Thus, we welcome submissions that (a) investigate how relevant social signals can be identified in human behaviour, (b) investigate the meaning of social signals in a specific context or task, (c) identify the minimal set of intentions for describing a context or task, (d) demonstrate how insights from the analysis of social behaviour can improve a robot's capabilities, or (e) demonstrate how a robot can make itself more understandable to the user by producing more human-like social signals.

Industrial Robots

Author : Isak Karabegović
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"Industrial Robots: Design, Applications and Technology is an essential reference source that explores the fundamentals of kinematics, dynamics and industrial robot control as well as a new generation of industrial robots, the collaborative robots or cobots. The tendency in Industry 4.0 towards the mass customisation of products, shorter product cycles and quality demands has led to the introduction of collaborative robot's systems capable of learning and working hand-in-hand with humans. Collaborative robots in the industry target the enhancement of production efficiency by combining the best of human operators and the industrial robots' accuracy, speed and reliability. The advances in smart sensors, artificial intelligence, digital twin, cyber-physical systems and the adoption of exoskeletons in industrial applications have opened new possibilities for technological progress in manufacturing, which led to efficient and flexible factories. This requires individuals to be educated in trends that are now focused on the design, monitoring and control of smart production processes. Featuring coverage on a wide range of topics such as new trends in human-robot collaboration, advanced vision technology and artificial intelligence, as well as application of industry robots in metal and wood industry, this book is ideally designed for electrical engineers, mechanical engineers, manufacturers, supply chain managers, logistics specialists, investors, managers, policymakers, production scientists, researchers, academicians and students at the postgraduate level"--

Designing Sociable Robots

Author : Cynthia L. Breazeal
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A blueprint for the design of sociable robots, as well as the story of Kismet, a nascent example.

How Humans Respond to Robots

Author : Heather Knight
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The purpose in this paper is not to provide detailed policy recommendations but to describe a series of important choices we face in designing robots that people will actually want to use and engage with. Design considerations today can foreshadow policy choices in the future. Much of the current research into human-robotic teams seeks to explore plausible practical applications given improved technological knowhow and better social understandings. For now, these are pre-policy technical design challenges for collaborative robots that will, or could, have public policy implications down the road. But handling them well at the design phase may reduce policy pressures over time. From driverless cars to semi-autonomous medical devices to things we have not even imagined yet, good decisions guiding the development of human-robotic partnerships can help avoid unnecessary policy friction over promising new technologies and help maximize human benefit. In this paper, the author provides an overview of some of these pre-policy design considerations that, to the extent that we can think about smart social design now, may help us navigate public policy considerations in the future.

An Anthropology of Robots and AI

Author : Kathleen Richardson
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This book explores the making of robots in labs at the Massachusetts Institute of Technology (MIT). It examines the cultural ideas that go into the making of robots, and the role of fiction in co-constructing the technological practices of the robotic scientists. The book engages with debates in anthropological theorizing regarding the way that robots are reimagined as intelligent, autonomous and social and weaved into lived social realities. Richardson charts the move away from the “worker” robot of the 1920s to the “social” one of the 2000s, as robots are reimagined as companions, friends and therapeutic agents.