Robot Shaping
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Robot Shaping
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Author : Marco Dorigo
language : en
Publisher: MIT Press
Release Date : 1998
Robot Shaping written by Marco Dorigo and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
foreword by Lashon Booker To program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy,"and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology.
Tales From A Robotic World
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Author : Dario Floreano
language : en
Publisher: MIT Press
Release Date : 2022-09-27
Tales From A Robotic World written by Dario Floreano and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-27 with Technology & Engineering categories.
Stories from the future of intelligent machines—from rescue drones to robot spouses—and accounts of cutting-edge research that could make it all possible. Tech prognosticators promised us robots—autonomous humanoids that could carry out any number of tasks. Instead, we have robot vacuum cleaners. But, as Dario Floreano and Nicola Nosengo report, advances in robotics could bring those rosy predictions closer to reality. A new generation of robots, directly inspired by the intelligence and bodies of living organisms, will be able not only to process data but to interact physically with humans and the environment. In this book, Floreano, a roboticist, and Nosengo, a science writer, bring us tales from the future of intelligent machines—from rescue drones to robot spouses—along with accounts of the cutting-edge research that could make it all possible. These stories from the not-so-distant future show us robots that can be used for mitigating effects of climate change, providing healthcare, working with humans on the factory floor, and more. Floreano and Nosengo tell us how an application of swarm robotics could protect Venice from flooding, how drones could reduce traffic on the congested streets of mega-cities like Hong Kong, and how a “long-term relationship model” robot could supply sex, love, and companionship. After each fictional scenario, they explain the technologies that underlie it, describing advances in such areas as soft robotics, swarm robotics, aerial and mobile robotics, humanoid robots, wearable robots, and even biohybrid robots based on living cells. Robotics technology is no silver bullet for all the world’s problems—but it can help us tackle some of the most pressing challenges we face.
Shaping The Future Of Automation With Cloud Enhanced Robotics
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Author : Gatti, Rathishchandra Ramachandra
language : en
Publisher: IGI Global
Release Date : 2024-04-26
Shaping The Future Of Automation With Cloud Enhanced Robotics written by Gatti, Rathishchandra Ramachandra and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Technology & Engineering categories.
In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.
Spatial Representation And Reasoning For Robot Mapping
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Author : Diedrich Wolter
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-07-23
Spatial Representation And Reasoning For Robot Mapping written by Diedrich Wolter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-23 with Technology & Engineering categories.
This book demonstrates bene?ts of abstract and qualitative reasoning that have not received much attention in the context of autonomous robotics before. Bremen, Christian Freksa December 2007 Director of the SFB/TR 8 Spatial Cognition Preface This book addresses spatial representations and reasoning techniques for - bile robot mapping, providing an analysis of fundamental representations and processes involved. A spatial representation based on shape information is p- posed and shape analysis techniques are developed to tackle the correspondence problem in robot mapping. A general mathematical formulation is presented to provide the formal ground for an e?cient matching of con?gurations of objects. This book is a slightly revised version of my doctoral thesis submitted to the Faculty of Mathematics and Computer Science of the University of Bremen, Germany. Manycontributeto the developmentofa dissertation,butsomeofthemstand out. Christian Freksa, I thank you for supporting and encouraging my work, for introducing me to interdisciplinary work, for giving me the freedom to develop this dissertation, and for providing an enjoyable atmosphere to work in. Longin Jan Latecki, thank you for countless in-depth discussions helping me to develop andtopositionmywork,forthefruitfulcollaboration,andformakingaresearch stay possible that has been very valuable to me. I thank the research groups in Bremen and Philadelphia for helpful discussions and feedback, in particular Jan Oliver Wallgrun. ̈ I also thank Kai-Florian Richter, Sven Bertel, and Lutz Frommberger for feedback on this work. Robert Ross, thank you for helping to proof-read this dissertation.
Knowledge Based Vision Guided Robots
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Author : Nick Barnes
language : en
Publisher: Physica
Release Date : 2012-12-06
Knowledge Based Vision Guided Robots written by Nick Barnes and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Many robotics researchers consider high-level vision algorithms (computational) too expensive for use in robot guidance. This book introduces the reader to an alternative approach to perception for autonomous, mobile robots. It explores how to apply methods of high-level computer vision and fuzzy logic to the guidance and control of the mobile robot. The book introduces a knowledge-based approach to vision modeling for robot guidance, where advantage is taken of constraints of the robot's physical structure, the tasks it performs, and the environments it works in. This facilitates high-level computer vision algorithms such as object recognition at a speed that is sufficient for real-time navigation. The texts presents algorithms that exploit these constraints at all levels of vision, from image processing to model construction and matching, as well as shape recovery. These algorithms are demonstrated in the navigation of a wheeled mobile robot.
Interdisciplinary Approaches To Robot Learning
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Author : J Demiris
language : en
Publisher: World Scientific
Release Date : 2000-06-12
Interdisciplinary Approaches To Robot Learning written by J Demiris and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-06-12 with Technology & Engineering categories.
Robots are being used in increasingly complicated and demanding tasks, often in environments that are complex or even hostile. Underwater, space and volcano exploration are just some of the activities that robots are taking part in, mainly because the environments that are being explored are dangerous for humans. Robots can also inhabit dynamic environments, for example to operate among humans, not just in factories, but also taking on more active roles. Recently, for instance, they have made their way into the home entertainment market. Given the variety of situations that robots will be placed in, learning becomes increasingly important. Robot learning is essentially about equipping robots with the capacity to improve their behaviour over time, based on their incoming experiences. The papers in this volume present a variety of techniques. Each paper provides a mini-introduction to a subfield of robot learning. Some also give a fine introduction to the field of robot learning as a whole. There is one unifying aspect to the work reported in the book, namely its interdisciplinary nature, especially in the combination of robotics, computer science and biology. This approach has two important benefits: first, the study of learning in biological systems can provide robot learning scientists and engineers with valuable insights into learning mechanisms of proven functionality and versatility; second, computational models of learning in biological systems, and their implementation in simulated agents and robots, can provide researchers of biological systems with a powerful platform for the development and testing of learning theories. Contents:Interdisciplinary Approaches to Robot Learning: Introduction (J Demiris & A Birk)Bootstrapping the Developmental Process: The Filter Hypothesis (L Berthouze)Biomimetic Gaze Stabilization (T Shibata & S Schaal)Experiments and Models About Cognitive Map Learning for Motivated Navigation (P Gaussier et al.)Learning Selection of Action for Cortically-Inspired Robot Control (H Frezza-Buet & F Alexandre)Transferring Learned Knowledge in a Lifelong Learning Mobile Robot Agent (J O'Sullivan)Of Hummingbirds and Helicopters: An Algebraic Framework for Interdisciplinary Studies of Imitation and Its Applications (C Nehaniv & K Dautenhahn)Evolving Complex Visual Behaviours Using Genetic Programming and Shaping (S Perkins & G M Hayes)Preston: A System for the Evaluation of Behaviour Sequences (M Wilson) Readership: Researchers and graduate students in robotics and machine learning who are interested in interdisciplinary approaches to their fields. Keywords:Robotics;Learning, Interdisciplinary Approaches;Robot Learning;Robots;Adaptivity;Biologically Inspired Robotics
Flexible Robot Dynamics And Controls
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Author : Rush D. Robinett III
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Flexible Robot Dynamics And Controls written by Rush D. Robinett III and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
This book is the result of over ten (10) years of research and development in flexible robots and structures at Sandia National Laboratories. The authors de cided to collect this wealth of knowledge into a set of viewgraphs in order to teach a graduate class in Flexible Robot Dynamics and Controls within the Mechanical En gineering Department at the University of New Mexico (UNM). These viewgraphs, encouragement from several students, and many late nights have produced a book that should provide an upper-level undergraduate and graduate textbook and a reference for experienced professionals. The content of this book spans several disciplines including structural dynam ics, system identification, optimization, and linear, digital, and nonlinear control theory which are developed from several points of view including electrical, me chanical, and aerospace engineering as well as engineering mechanics. As a result, the authors believe that this book demonstrates the value of solid applied theory when developing hardware solutions to real world problems. The reader will find many real world applications in this book and will be shown the applicability of these techniques beyond flexible structures which, in turn, shows the value of mul tidisciplinary education and teaming.
Self Reconfiguring Modular Robot
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2022-08-09
Self Reconfiguring Modular Robot written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-09 with Technology & Engineering categories.
What Is Self Reconfiguring Modular Robot Self-reconfigurable modular robots are autonomous kinematic machines that may take on a variety of shapes and configurations. They are also known as modular self-reconfiguring robotic systems. In addition to the conventional actuation, sensing, and control that are typically found in fixed-morphology robots, self-reconfiguring robots have the ability to deliberately change their own shape by rearranging the connectivity of their parts. This enables them to adapt to new circumstances, perform new tasks, or recover from damage more quickly than fixed-morphology robots. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Self-reconfiguring modular robot Chapter 2: Robot Chapter 3: Reconfigurable computing Chapter 4: Utility fog Chapter 5: Ant colony optimization algorithms Chapter 6: Swarm intelligence Chapter 7: Claytronics Chapter 8: Reconfigurable manufacturing system Chapter 9: Control reconfiguration Chapter 10: Programmable matter Chapter 11: Physicomimetics Chapter 12: Webots Chapter 13: Daniela L. Rus Chapter 14: Robotics Chapter 15: MIBE architecture Chapter 16: Morphogenetic robotics Chapter 17: Torch (machine learning) Chapter 18: Kilobot Chapter 19: Molecubes Chapter 20: Soft robotics Chapter 21: Continuum robot (II) Answering the public top questions about self reconfiguring modular robot. (III) Real world examples for the usage of self reconfiguring modular robot in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of self reconfiguring modular robot' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of self reconfiguring modular robot.
Self Reconfigurable Robots
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Author : Kasper Stoy
language : en
Publisher:
Release Date : 2010
Self Reconfigurable Robots written by Kasper Stoy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Adaptive control systems categories.
A comprehensive survey of the growing field of self-reconfigurable robots that discusses the history of the field, design considerations, and control strategies. Self-reconfigurable robots are constructed of robotic modules that can be connected in many different ways. These modules move in relationship to each other, which allows the robot as a whole to change shape. This shapeshifting makes it possible for the robots to adapt and optimize their shapes for different tasks. Thus, a self-reconfigurable robot can first assume the shape of a rolling track to cover distance quickly, then the shape of a snake to explore a narrow space, and finally the shape of a hexapod to carry an artifact back to the starting point. The field of self-reconfigurable robots has seen significant progress over the last twenty years, and this book collects and synthesizes existing research previously only available in widely scattered individual papers, offering an accessible guide to the latest information on self-reconfigurable robots for researchers and students interested in the field. Self-Reconfigurable Robots focuses on conveying the intuition behind the design and control of self-reconfigurable robots rather than technical details. Suggestions for further reading refer readers to the underlying sources of technical information. The book includes descriptions of existing robots and a brief history of the field; discussion of module design considerations, including module geometry, connector design, and computing and communication infrastructure; an in-depth presentation of strategies for controlling self-reconfiguration and locomotion; and exploration of future research challenges.
Shape Registration Using Optimization For Mobile Robot Navigation Microform
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Author : Feng Lu
language : en
Publisher: National Library of Canada = Bibliothèque nationale du Canada
Release Date : 1995
Shape Registration Using Optimization For Mobile Robot Navigation Microform written by Feng Lu and has been published by National Library of Canada = Bibliothèque nationale du Canada this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.