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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 205
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Book Description
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.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 205
Get Book Here
Book Description
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.
Author: Changliu Liu
Publisher: CRC Press
ISBN: 0429602855
Category : Computers
Languages : en
Pages : 206
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Book Description
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.
Author: Hande Ayanoğlu
Publisher: Springer Nature
ISBN: 3319967223
Category : Computers
Languages : en
Pages : 199
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Book Description
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.
Author: Abhizna Butchibabu
Publisher:
ISBN:
Category :
Languages : en
Pages : 131
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Book Description
Increasing prevalence of autonomous systems has generated interest in effective inclusion of robots as team members in many domains, especially where complex and safety-critical tasks must be performed. We envision a world where autonomous systems can be seamlessly integrated into high performing human teams. In order for team members to successfully work in concert to achieve a goal, the team must establish a common understanding of the task expectations and communicate effectively. In this dissertation , we drew inspiration from studies of effective human teamwork, which showed that best performing human teams exploit anticipatory coordination strategies (referred to as implicit coordination) to selectively communicate information based on the perceived needs of the other members in the team instead of requesting for information (referred to as explicit coordination). We elaborated upon prior characterizations of communication as implicit versus explicit by dividing implicit communication into two subtypes: (1) goal-based information (referred to as deliberative-implicit communication) and (2) status updates (referred to as reactive-implicit communication). Based on an empirical study conducted using 13 teams of 4 people working on a collaborative search-and-deliver task, we found that the best performing teams exhibited higher rates of deliberative communication than reactive communication compared to the worst-performing teams (p = 0.039). In other words, the best performing teams proactively shared goal-based information with their teammates. By gaining insight into how high-performing human teams communicate effectively, we developed a computational model using a Maximum Entropy Markov Model (MEMM) that selected the appropriate communication type (i.e., deliberative, reactive, explicit or no communication) for the autonomous agent using human teams' data. We showed that the MEMM model accuracy was high when the model was trained and tested using the best-performing teams' data (73.3%) and all 13 teams' data (92.3%) from the previously studied human-human teams. We further validated this model by assessing team performance in an empirical study where teams consisting of 2 human and 2 autonomous agent worked on a collaborative task. We compared the performance of teams with agents using the MEMM communication model to performance of teams with agents communicating using only deliberative-implicit communications or reactive-implicit communications. Results from this study showed that team performance with agents using the MEMM communication model was statistically better than team performance with agents using reactive-implicit communication model (p
Author: Justyna Żywiołek
Publisher: CRC Press
ISBN: 104004543X
Category : Technology & Engineering
Languages : en
Pages : 475
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Book Description
In an era where technological advancements are not just tools but partners in our workspaces, Modern Technologies and Tools Supporting the Development of Industry 5.0 emerges as a seminal guide to understanding and navigating the complexities of the Fifth Industrial Revolution. This book, a collective work of expert authors, delves into the heart of Industry 5.0, exploring how it synergizes human creativity with robotic precision to redefine industrial landscapes. From collaborative robotics to sustainable development, each chapter unfolds layers of knowledge essential for professionals, academics, and students alike. Features • Covers modern technologies including artificial intelligence, robotics, and the Internet of Everything for modernizing Industry 5.0 and the transformative role of collaborative robots in the workplace and how they are changing the dynamics of human labour. • Focuses on technologies mimicking human behaviour and reasoning to solve complex problems and explores the evolving role of human expertise in an increasingly automated world and the competencies needed to thrive in this new era. • Showcases the impact of Industry 5.0 on the environment, and industry commitment to sustainable development by laying a map to understand how Industry 5.0 is steering industries towards sustainable practices, focusing on green supply chains, reverse logistics, and the critical role of internal audits. • Highlights future perspectives such as smart manufacturing and the Industrial Internet of Things (IIoT) for Industry 5.0 manufacturing processes and provides insights into the challenges and security concerns as industries prepare to adopt Industry 5.0, offering foresight into its long-term impacts on global markets and societies. • Presents real-time case studies on tools, technologies, architecture, and product outcomes for Industry 5.0. Modern Technologies and Tools Supporting the Development of Industry 5.0 is more than a book; it’s a roadmap for the future, guiding readers through the intricacies of industrial evolution. It is primarily written for senior undergraduate and graduate students and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, and aerospace engineering.
Author: Damith C. Herath
Publisher: Frontiers Media SA
ISBN: 2832515541
Category : Technology & Engineering
Languages : en
Pages : 155
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Book Description
Author: Dan Zhang
Publisher: Cambridge Scholars Publishing
ISBN: 1527558290
Category : Business & Economics
Languages : en
Pages : 208
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Book Description
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.
Author: Masaaki Kurosu
Publisher: Springer Nature
ISBN: 3031356020
Category : Computers
Languages : en
Pages : 565
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Book Description
The four-volume set LNCS 14011, 14012, 14013, and 14014 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 25th International Conference on Human-Computer Interaction, HCII 2023, which took place in Copenhagen, Denmark, in July 2023. A total of 1578 papers and 396 posters have been accepted for publication in the HCII 2023 proceedings from a total of 7472 submissions. The papers included in the HCI 2023 volume set were organized in topical sections as follows: Part I: Design and evaluation methods, techniques and tools; interaction methods and techniques; Part II: Children computer interaction; emotions in HCI; and understanding the user experience; Part III: Human robot interaction; chatbots and voice-based interaction; interacting in the metaverse; Part IV: Supporting health, quality of life and everyday activities; HCI for learning, culture, creativity and societal impact.
Author: Sakae Yamamoto
Publisher: Springer
ISBN: 3319585215
Category : Computers
Languages : en
Pages : 668
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Book Description
The two-volume set LNCS 10273 and 10274 constitutes the refereed proceedings of the thematic track on Human Interface and the Management of Information, held as part of the 19th HCI International 2017, in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The 102 papers presented in these volumes were organized in topical sections as follows: Part I: Visualization Methods and Tools; Information and Interaction Design; Knowledge and Service Management; Multimodal and Embodied Interaction. Part II: Information and Learning; Information in Virtual and Augmented Reality; Recommender and Decision Support Systems; Intelligent Systems; Supporting Collaboration and User Communities; Case Studies.
Author: Masaaki Kurosu
Publisher: Springer Nature
ISBN: 3030784657
Category : Computers
Languages : en
Pages : 672
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Book Description
The three-volume set LNCS 12762, 12763, and 12764 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 23rd International Conference on Human-Computer Interaction, HCII 2021, which took place virtually in July 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The 139 papers included in this HCI 2021 proceedings were organized in topical sections as follows: Part I, Theory, Methods and Tools: HCI theory, education and practice; UX evaluation methods, techniques and tools; emotional and persuasive design; and emotions and cognition in HCI Part II, Interaction Techniques and Novel Applications: Novel interaction techniques; human-robot interaction; digital wellbeing; and HCI in surgery Part III, Design and User Experience Case Studies: Design case studies; user experience and technology acceptance studies; and HCI, social distancing, information, communication and work
