Robotics in Germany and Japan

This book comprehends an intercultural and interdisciplinary framework including current research fields like Roboethics, Hermeneutics of Technologies, Technology Assessment, Robotics in Japanese Popular Culture and Music Robots. Contributions on cultural interrelations, technical visions and essays are rounding out the content of this book

Timbral Learning for Musical Robots

abstract: The tradition of building musical robots and automata is thousands of years old. Despite this rich history, even today musical robots do not play with as much nuance and subtlety as human musicians. In particular, most instruments allow the player to manipulate timbre while playing; if a violinist is told to sustain an E, they will select which string to play it on, how much bow pressure and velocity to use, whether to use the entire bow or only the portion near the tip or the frog, how close to the bridge or fingerboard to contact the string, whether or not to use a mute, and so forth. Each one of these choices affects the resulting timbre, and navigating this timbre space is part of the art of playing the instrument. Nonetheless, this type of timbral nuance has been largely ignored in the design of musical robots. Therefore, this dissertation introduces a suite of techniques that deal with timbral nuance in musical robots. Chapter 1 provides the motivating ideas and introduces Kiki, a robot designed by the author to explore timbral nuance. Chapter 2 provides a long history of musical robots, establishing the under-researched nature of timbral nuance. Chapter 3 is a comprehensive treatment of dynamic timbre production in percussion robots and, using Kiki as a case-study, provides a variety of techniques for designing striking mechanisms that produce a range of timbres similar to those produced by human players. Chapter 4 introduces a machine-learning algorithm for recognizing timbres, so that a robot can transcribe timbres played by a human during live performance. Chapter 5 introduces a technique that allows a robot to learn how to produce isolated instances of particular timbres by listening to a human play an examples of those timbres. The 6th and final chapter introduces a method that allows a robot to learn the musical context of different timbres; this is done in realtime during interactive improvisation between a human and robot, wherein the robot builds a statistical model of which timbres the human plays in which contexts, and uses this to inform its own playing.Dissertation/ThesisDoctoral Dissertation Media Arts and Sciences 201

From industrial robots to androids

Tato bakalářská práce je zaměřena na téma robotiky. V teoretické části se stručně zabývá pojmem robot a popisuje historii robotiky, od nejprimitivnějších vynálezů až po dnešní androidy. Věnuje se zejména těm nejvýznamnějším milníkům v průběhu historie. Dále se zabývá problematikou společenských robotů. Zaměřuje se na to, co dělá robota společenským a řeší nejrůznější designové a etické problémy spojené s konstrukcí takového druhu robota. Poslední část se zabývá legálními a etickými problémy v robotice podle Evropského parlamentu. V praktické části jsou prezentovány výsledky dotazníkového průzkumu.This bachelor’s thesis is focused on the theme of robotics. In the theoretical part, it briefly introduces the term robot and then it describes history of robotics from the most primitive inventions to today’s androids. It mainly focuses on the most significant milestones throughout the history. The next part aids at the problematics of sociable robots. It describes the aspects of sociable robots and deals with various design and ethical issues associated with the construction of a sociable robot. The last part deals with legal and ethical problems according to the European Parliament. In the practical part, results of the questionnaire survey are presented.

Portrayals and perceptions of AI and why they matter

How researchers, communicators, policymakers, and publics talk about technology matters. Shared understandings about the nature, promise and risks of new technologies develop through the explicit or implicit stories that different groups tell about technology and its place in our lives. The AI narratives project – a joint endeavour by the Leverhulme Centre for the Future of Intelligence and the Royal Society – has been examining which narratives currently influence public debates about AI, and how these portrayals might shape public perceptions of the capabilities, risks, and benefits of AI technologies. Many of the current ideas about AI technologies that are pervasive in public consciousness – typically that AI is an embodied, super-human intelligence – are shaped by hundreds of years of stories that people have told about humans and machines, and our places in the world. This cultural hinterland shapes how AI is portrayed in media, culture, and everyday discussion; it influences what societies find concerning – or exciting – about technological developments; and it affects how different publics relate to AI technologies. Building a well-founded public dialogue about AI technologies will be key to continued public confidence in the systems that deploy AI technologies, and to realising the benefits they promise across sectors. Since the launch of the machine learning project, the Royal Society has been creating spaces for public discussion about AI technologies, and their implications for society. In a series of four workshops, the Royal Society and Leverhulme Centre for the Future of Intelligence explored: which narratives around intelligent machines are most prevalent, and their historical roots; what can be learned from how the narrative around other complex, new technologies developed, and the impact of these; how narratives are shaping the development of AI, and the role of arts and media in this process; and the implications of current AI narratives for researchers and communicators. The report brings together the conclusions of these workshops, and is for anyone interested in how AI is portrayed and perceived.Drs Cave, Dihal, and Dillon are funded by a Leverhulme Trust Research Centre Grant awarded to the Leverhulme Centre for the Future of Intelligence. Dr Singler was funded by a Templeton World Charitable Foundation grant during the course of the AI narratives project, awarded to the Faraday Institute for Science and Religion, St Edmund's College, Cambridge

Enhancing stroke generation and expressivity in robotic drummers - A generative physics model approach

The goal of this master's thesis research is to enhance the stroke generation capabilities and musical expressivity in robotic drummers. The approach adopted is to understand the physics of human fingers-drumstick-drumhead interaction and try to replicate the same behavior in a robotic drumming system with the minimum number of degrees of freedom. The model that is developed is agnostic to the exact specifications of the robotic drummer that will attempt to emulate human like drum strokes, and therefore can be used in any robotic drummer that uses actuators with complete control over the motor position angle. Initial approaches based on exploiting the instability of a PID control system to generate multiple bounces and the limitations of this approach are also discussed in depth. In order to assess the success of the model and the implementation in the robotic platform a subjective evaluation was conducted. The evaluation results showed that, the observed data was statistically equivalent to the subjects resorting to a blind guess in order to distinguish between a human playing a multiple bounce stroke and a robot playing a similar kind of stroke.M.S