Intelligence physical world (27 résultats)

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Paperback. Etat : Good. This book approaches robotics from a deep learning perspective. Artificial intelligence (AI) has transformed many fields, including robotics. This book shows you how to reimagine decades-old robotics problems as AI problems and is a handbook for solving problems using modern techniques in an era of large foundation models.  The book begins with an introduction to general-purpose robotics, how robots are modeled, and how physical intelligence relates to the movement of building artificial general intelligence, while giving you an overview of the current state of the field, its challenges, and where we are headed. The first half of this book delves into defining what the problems in robotics are, how to frame them as AI problems, and the details of how to solve them using modern AI techniques. First, we look at robot perception and sensing to understand how robots perceive their environment, and discuss convolutional networks and vision transformers to solve robotics problems such as segmentation, classification, and detection in two and three dimensions. The book then details how to apply large language and multimodal models for robotics, and how to adapt them to solve reasoning and robot control. Simulation, localization, and mapping and navigation are framed as deep learning problems and discussed with recent research. Lastly, the first part of this book discusses reinforcement learning and control and how robots learn via trial and error and self-play. The second part of this book is concerned with applications of robotics in specialized contexts. You will develop full stack knowledge by applying the techniques discussed in the first part to real-world use cases. Individual chapters discuss the details of building robots for self-driving, industrial manipulation, and humanoid robots. For each application, you will learn how to design these systems, the prevalent algorithms in research and industry, and how to assess trade-offs for performance and reliability. The book concludes with thoughts on operations, infrastructure, and safety for data-driven robotics, and outlooks for the future of robotics and machine learning. In summary, this book offers insights into cutting-edge machine learning techniques applied in robotics, along with the challenges encountered during their implementation and practical strategies for overcoming them.   What You Will Learn Explore ML applications in robotics, covering perception, control, localization, planning, and end-to-end learningDelve into system design, and algorithmic and hardware considerations for building efficient ML-integrated robotics systemsDiscover robotics applications in self-driving, manufacturing, and humanoids and their practical implementationsUnderstand how machine learning and robotics benefit current research and organizations   Who This Book Is For Software and AI engineers eager to learn about robotics, seasoned robotics and mechanical engineers looking to stay at the cutting edge by integrating modern AI, and investors, executives or decision makers seeking insights into this dynamic field.…

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Taschenbuch. Etat : Neu. Neuware.

Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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Taschenbuch. Etat : Neu. AI for Robotics | Toward Embodied and General Intelligence in the Physical World | Alishba Imran (u. a.) | Taschenbuch | xxiii | Englisch | 2025 | Apress | EAN 9798868809880 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Etat : New. Presents the latest information in the highly regarded Psychology of Learning and Motivation seriesProvides an essential reference for researchers and academics in cognitive scienceContains information relevant to both applied conc.

Buch. Etat : Neu. Neuware - Volume 82 in The Psychology of Learning and Motivation series, the latest release in this ongoing series, features empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving. Chapters in this new release include the genetic and neuronal basis of animal architecture, adopting whole-brain computational modeling to investigate neurophysiological features, Dynamical and robotic modeling of brain motivational and decision-making systems, Attention and consciousness are one and the same, Hierarchical processing in the brain: Insights from predictive coding and its neural signatures, and much more.Additional sections cover Scratching the itch of 'not knowing': Non-instrumental information-seeking in humans, How do emotions move us Emotional influence can occur by changing perceivers feelings, bodies, and inferences, Cultural bodybuilding: the embodied influence of culture on perception and action, and Beyond dyadic interaction and shared experience: rethinking social connections.…

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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book approaches robotics from a deep learning perspective. Artificial intelligence (AI) has transformed many fields, including robotics. This book shows you how to reimagine decades-old robotics problems as AI problems and is a handbook for solving problems using modern techniques in an era of large foundation models.The book begins with an introduction to general-purpose robotics, how robots are modeled, and how physical intelligence relates to the movement of building artificial general intelligence, while giving you an overview of the current state of the field, its challenges, and where we are headed. The first half of this book delves into defining what the problems in robotics are, how to frame them as AI problems, and the details of how to solve them using modern AI techniques. First, we look at robot perception and sensing to understand how robots perceive their environment, and discuss convolutional networks and vision transformers to solve robotics problems such as segmentation, classification, and detection in two and three dimensions. The book then details how to apply large language and multimodal models for robotics, and how to adapt them to solve reasoning and robot control. Simulation, localization, and mapping and navigation are framed as deep learning problems and discussed with recent research. Lastly, the first part of this book discusses reinforcement learning and control and how robots learn via trial and error and self-play.The second part of this book is concerned with applications of robotics in specialized contexts. You will develop full stack knowledge by applying the techniques discussed in the first part to real-world use cases. Individual chapters discuss the details of building robots for self-driving, industrial manipulation, and humanoid robots. For each application, you will learn how to design these systems, the prevalent algorithms in research and industry, and how to assess trade-offs for performance and reliability. The book concludes with thoughts on operations, infrastructure, and safety for data-driven robotics, and outlooks for the future of robotics and machine learning.In summary, this book offers insights into cutting-edge machine learning techniques applied in robotics, along with the challenges encountered during their implementation and practical strategies for overcoming them.What You Will LearnExplore ML applications in robotics, covering perception, control, localization, planning, and end-to-end learningDelve into system design, and algorithmicand hardware considerations for building efficient ML-integrated robotics systemsDiscover robotics applications in self-driving, manufacturing, and humanoids and their practical implementationsUnderstand how machine learning and robotics benefitcurrent research andorganizationsWho This Book Is ForSoftware and AI engineers eager to learn about robotics, seasoned robotics and mechanical engineers looking to stay at the cutting edge by integrating modern AI, and investors, executives or decision makers seeking insights into this dynamic field.…

Hardcover. Etat : new. Hardcover. Volume 82 in The Psychology of Learning and Motivation series, the latest release in this ongoing series, features empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving. Chapters in this new release include the genetic and neuronal basis of animal architecture, adopting whole-brain computational modeling to investigate neurophysiological features, Dynamical and robotic modeling of brain motivational and decision-making systems, Attention and consciousness are one and the same, Hierarchical processing in the brain: Insights from predictive coding and its neural signatures, and much more.Additional sections cover Scratching the itch of "not knowing": Non-instrumental information-seeking in humans, How do emotions move us? Emotional influence can occur by changing perceivers feelings, bodies, and inferences, Cultural bodybuilding: the embodied influence of culture on perception and action, and Beyond dyadic interaction and shared experience: rethinking social connections. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…