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Interactive Task Learning
Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche ...
Robot Learning
Robot learning-This chapter introduces the concept of robot learning, explaining how robots can autonomously acquire knowledge from their environment to improve their performance and decisionmaking Domo (robot)-The Domo robot is explored as a case study in the evolution of robot learning, with insights into its learning methods and its ability to adapt through sensory feedback Developmental robotics-This chapter covers the fundamentals of developmental robotics, focusing on how robots can learn progressively over time, similar to human cognitive development ICub-A deep dive into the iCub robot, emphasizing its role in studying cognitive development and humanrobot interaction, showcasing its ...
Developmental Robotics
1. Developmental robotics: Introduction to robotics inspired by human growth and learning. 2. Domo (robot): Study of Domo, a robot designed for interaction with human environments. 3. Humancentered computing: Exploration of systems that prioritize human interaction and usability. 4. Computational intelligence: Insight into computational models of intelligence in robotics. 5. Cognitive architecture: Examination of the structures enabling robot reasoning and learning. 6. Cognitive robotics: Insights into robots that mimic humanlike perception and problemsolving. 7. Robot learning: Overview of machine learning as applied to autonomous robotic adaptation. 8. Enactivism: Analysis of embodied lear...
Designing Multilingual Experiences in Technical Communication
As technical communicators continue advocating for justice, the field should pay closer attention to how language diversity shapes all research and praxis in contemporary global contexts. Designing Multilingual Experiences in Technical Communication provides frameworks, strategies, and best practices for researchers engaging in projects with multilingual communities. Through grounded case studies of multilingual technical communication projects in the US, Mexico, and Nepal, Laura Gonzales illustrates the multiple tensions at play in transnational research and demonstrates how technical communicators can leverage contemporary translation practices and methodologies to engage in research with multilingual communities that is justice-driven, participatory, and reciprocal. Designing Multilingual Experiences in Technical Communication is of value to researchers and students across fields who are interested in designing projects alongside multilingual communities from historically marginalized backgrounds.
Social Robotics
This book constitutes the refereed proceedings of the 8th International Conference on Social Robotics, ICSR 2016, held in Kansas City, MO, USA, in November 2016. The 98 revised full papers presented were carefully reviewed and selected from 107 submissions. The theme of the 2016 conference is Sociorobotics: Design and implementation of social behaviors of robots interacting with each other and humans. In addition to technical sessions, ICSR 2016 included three workshops: The Synthetic Method in Social Robotics (SMSR 2016), Social Robots: A Tool to Advance Interventions for Autism, and Using Social Robots to Improve the Quality of Life in the Elderly.
Social Robotics
The two-volume set LNAI 13817 and 13818 constitutes the refereed proceedings of the 14th International Conference on Social Robotics, ICSR 2022, which took place in Florence, Italy, in December 2022. The 111 papers presented in the proceedings set were carefully reviewed and selected from 143 submissions. The contributions were organized in topical sections as follows: Social robot navigation and interaction capabilities (voice, tactile); Social robot perception and control capabilities; Investigating non verbal interaction with Social robots; Foster attention and engagement strategies in social robots; Special Session 1: Social Robotics Driven by Intelligent Perception and Endogenous Emotion-Motivation Core; Special Session 2: Adaptive behavioral models of robotic systems based on brain-inspired AI cognitive architectures; Advanced HRI capabilities for interacting with children; Social robots as advanced educational tool; Social robot applications in clinical and assistive scenarios; Collaborative social robots through dynamic game; Design and evaluate user’s robot perception and acceptance; Ethics, gender & trust in social robotics.
Human-Robot Interaction
The role of robots in society keeps expanding and diversifying, bringing with it a host of issues surrounding the relationship between robots and humans. This introduction to human–robot interaction (HRI) by leading researchers in this developing field is the first to provide a broad overview of the multidisciplinary topics central to modern HRI research. Written for students and researchers from robotics, artificial intelligence, psychology, sociology, and design, it presents the basics of how robots work, how to design them, and how to evaluate their performance. Self-contained chapters discuss a wide range of topics, including speech and language, nonverbal communication, and processing emotions, plus an array of applications and the ethical issues surrounding them. This revised and expanded second edition includes a new chapter on how people perceive robots, coverage of recent developments in robotic hardware, software, and artificial intelligence, and exercises for readers to test their knowledge.
TRUST IN ROBOTS
Robots are increasingly becoming prevalent in our daily lives within our living or working spaces. We hope that robots will take up tedious, mundane or dirty chores and make our lives more comfortable, easy and enjoyable by providing companionship and care. However, robots may pose a threat to human privacy, safety and autonomy; therefore, it is necessary to have constant control over the developing technology to ensure the benevolent intentions and safety of autonomous systems. Building trust in (autonomous) robotic systems is thus necessary. The title of this book highlights this challenge: “Trust in robots—Trusting robots”. Herein, various notions and research areas associated with robots are unified. The theme “Trust in robots” addresses the development of technology that is trustworthy for users; “Trusting robots” focuses on building a trusting relationship with robots, furthering previous research. These themes and topics are at the core of the PhD program “Trust Robots” at TU Wien, Austria.
