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Human-Robot Interaction - Theory and Application

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ISBN: 9781789233162 9781789233179 Year: Pages: 184 DOI: 10.5772/intechopen.68231 Language: English
Publisher: IntechOpen
Subject: Mechanical Engineering
Added to DOAB on : 2019-10-03 07:51:51

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This book takes the vocal and visual modalities and human-robot interaction applications into account by considering three main aspects, namely, social and affective robotics, robot navigation, and risk event recognition. This book can be a very good starting point for the scientists who are about to start their research work in the field of human-robot interaction.

Understanding Social Signals: How Do We Recognize the Intentions of Others?

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889198450 Year: Pages: 141 DOI: 10.3389/978-2-88919-845-0 Language: English
Publisher: Frontiers Media SA
Subject: Psychology --- Science (General)
Added to DOAB on : 2016-01-19 14:05:46
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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.

Bewegungsregelung mobiler Manipulatoren für die Mensch-Roboter-Interaktion mittels kartesischer modellprädiktiver Regelung

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Book Series: Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ISSN: 18636489 ISBN: 9783731508557 Year: Volume: 39 Pages: XXVI, 176 p. DOI: 10.5445/KSP/1000086157 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-28 18:37:01
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For human-robot-interaction, this work proposes a method for monitoring the complex, dynamic environment of the robot. The robot motion is controlled based on the concept of nonlinear model predictive control. The controller considers the detected obstacles and intended or unintended contacts of the robot with its environment so that undesired collisions are avoided and an adequate reaction to contacts is achieved. The proposed approaches are analyzed on a mobile manipulator.

Mechanism Design for Robotics

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ISBN: 9783039210589 / 9783039210596 Year: Pages: 212 DOI: 10.3390/books978-3-03921-059-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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MEDER 2018, the IFToMM International Symposium on Mechanism Design for Robotics, was the fourth event in a series that was started in 2010 as a specific conference activity on mechanisms for robots. The aim of the MEDER Symposium is to bring researchers, industry professionals, and students together from a broad range of disciplines dealing with mechanisms for robots, in an intimate, collegial, and stimulating environment. In the 2018 MEDER event, we received significant attention regarding this initiative, as can be seen by the fact that the Proceedings contain contributions by authors from all around the world.The Proceedings of the MEDER 2018 Symposium have been published within the Springer book series on MMS, and the book contains 52 papers that have been selected after review for oral presentation. These papers cover several aspects of the wide field of robotics dealing with mechanism aspects in theory, design, numerical evaluations, and applications.This Special Issue of Robotics (https://www.mdpi.com/journal/robotics/special_issues/MDR) has been obtained as a result of a second review process and selection, but all the papers that have been accepted for MEDER 2018 are of very good quality with interesting contents that are suitable for journal publication, and the selection process has been difficult.

Keywords

hexapod walking robot --- 3-UPU parallel mechanism --- kinematics --- stability --- gait planning --- shape changing --- rolling --- robot --- cylindrical --- elliptical --- velocity control --- economic locomotion --- actuation burden --- inadvertent braking --- humanoid robots --- parallel mechanisms --- cable-driven robots --- robotic legs --- painting robot --- collaborative robot --- image processing --- non-photorealistic rendering --- artistic rendering --- robot wrists --- spherical parallel mechanism --- orientational mechanisms --- computer-aided design --- workspace analysis --- iCub --- shape memory alloy --- compliant mechanism --- SMA actuator --- pneumatic artificial muscle --- McKibben muscle --- haptic glove --- hand exoskeleton --- teleoperation --- force reflection --- human-machine interaction --- robot kinematics --- robot singularity --- singularity analysis --- robot control --- mobile manipulation --- human-robot-interaction --- learning by demonstration --- compliance control --- trajectory planning --- energy efficiency --- redundancy --- robotic cell --- kinematic redundancy --- cable-driven parallel robots --- fail-safe operation --- exercising device --- cobot --- V2SOM --- safety mechanism --- safe physical human–robot interaction --- pHRI --- variable stiffness actuator --- VSA --- collaborative robots --- humanoid robotic hands --- underactuated fingers --- graphical user interface --- grasp stability --- safe physical human–robot interaction (pHRI) --- variable stiffness actuator (VSA) --- collaborative robots --- robot-assisted Doppler sonography --- n/a

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