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I, Robot
In this technothriller, a Japanese detective stumbles onto deployment of military robots. With cutting-edge technology, I, Robot is a fast read.
Robo Sapiens Japanicus
Japan is arguably the first postindustrial society to embrace the prospect of human-robot coexistence. Over the past decade, Japanese humanoid robots designed for use in homes, hospitals, offices, and schools have become celebrated in mass and social media throughout the world. In Robo sapiens japanicus, Jennifer Robertson casts a critical eye on press releases and public relations videos that misrepresent robots as being as versatile and agile as their science fiction counterparts. An ethnography and sociocultural history of governmental and academic discourse of human-robot relations in Japan, this book explores how actual robots—humanoids, androids, and animaloids—are “imagineered” in ways that reinforce the conventional sex/gender system and political-economic status quo. In addition, Robertson interrogates the notion of human exceptionalism as she considers whether “civil rights” should be granted to robots. Similarly, she juxtaposes how robots and robotic exoskeletons reinforce a conception of the “normal” body with a deconstruction of the much-invoked Theory of the Uncanny Valley.
Computer Vision and Sensor-Based Robots
The goal ofthe symposium, "Computer Vision and Sensor-Based Robots," held at the General Motors Research Laboratories on September 2S and 26, 1978, was to stimulate a closer interaction between people working in diverse areas and to discuss fundamental issues related to vision and robotics. This book contains the papers and general discussions of that symposium, the 22nd in an annual series covering different technical disciplines that are timely and of interest to General Motors as well as the technical community at large. The subject of this symposium remains timely because the cost of computer vision hardware continues to drop and there is increasing use of robots in manufacturing applica...
The Day I Started a Mega-robot Invasion
A nine-year-old inventor is about to have her worst day ever in this laugh-a-minute mega-robot adventure! Molly should be doing her homework, but instead, she builds a robot to do it for her. The robot is pretty clever ... so clever that it decides to make another robot. Then that robot makes another one. Before long, an army of slightly-too-clever-for-their-own-good robots are running around town causing chaos. But when robot number one gets wind of Molly's plan to shut them down, the mechanical army set out to get rid of the humanoid once and for all. Now, Molly must race against time to stop the mega-robot invasion ... and hand in her homework!
The Wild Robot
Roz the robot discovers that she is alone on a remote, wild island with no memory of where she is from or why she is there, and her only hope of survival is to try to learn about her new environment from the island's hostile inhabitants.
Advances in Robot Kinematics: Analysis and Control
The contributions in this book were presented at the sixth international symposium on Advances in Robot Kinematics organised in June/July 1998 in Strobl/Salzburg in Austria. The preceding symposia of the series took place in Ljubljana (1988), Linz (1990), Ferrara (1992), Ljubljana (1994), and Piran (1996). Ever since its first event, ARK has attracted the most outstanding authors in the area and managed to create a perfect combination of professionalism and friendly athmosphere. We are glad to observe that, in spite of a strong competition of many international conferences and meetings, ARK is continuing to grow in terms of the number of participants and in terms of its scientific impact. In...
Modern Robotics
A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.
Beginning Artificial Intelligence with the Raspberry Pi
Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi. The Prolog language will also be introduced and used to demonstrate fundamental AI concepts. In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors a...
Probabilistic Robotics
An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Uncertain Archives
Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
