Billard aude (44 resultados)

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Hardcover. Condición: new. Hardcover. Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises.Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises.This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills.Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control .Features for teaching in each chapter:applications, which range from arm manipulators to whole-body control of humanoid robots;pencil-and-paper and programming exercises;lecture videos, slides, and MATLAB code examples available on the author's website .an eTextbook platform website offering protected material EPS2 for instructors including solutions. "This textbook offers an overview of techniques stemming from machine learning to train robots to adapt to changes in their environment"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New.

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Hardcover. Condición: New.

Condición: New. pp. 424.

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Condición: New. pp. 424.

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Condición: New. 2022. Hardcover. . . . . .

Condición: New. In English.

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Hardcover. Condición: Brand New. 456 pages. 10.00x7.00x1.14 inches. In Stock.

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Buch. Condición: Neu. Learning for Adaptive and Reactive Robot Control | A Dynamical Systems Approach | Aude Billard (u. a.) | Buch | Intelligent Robotics and Autonomous Agents series | Einband - fest (Hardcover) | Englisch | 2022 | MIT Press Ltd | EAN 9780262046169 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Hardcover. Condición: new. Hardcover. Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises.Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises.This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills.Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control .Features for teaching in each chapter:applications, which range from arm manipulators to whole-body control of humanoid robots;pencil-and-paper and programming exercises;lecture videos, slides, and MATLAB code examples available on the author's website .an eTextbook platform website offering protected material EPS2 for instructors including solutions. "This textbook offers an overview of techniques stemming from machine learning to train robots to adapt to changes in their environment"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardback. Condición: New.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 596 | Sprache: Englisch | Produktart: Bücher | The proceedings of the 2022 edition of the International Symposium of Robotics Research (ISRR) offer a series of peer-reviewed chapters that report on the most recent research results in robotics, in a variety of domains of robotics including robot design, control, robot vision, robot learning, planning, and integrated robot systems. The proceedings entail also invited contributions that offer provocative new ideas, open-ended themes, and new directions for robotics, written by some of the most renown international researchers in robotics. As one of the pioneering symposia in robotics, ISRR has established some of the most fundamental and lasting contributions in the field since 1983. ISRR promotes the development and dissemination of ground-breaking research and technological innovation in robotics useful to society by providing a lively, intimate, forward-looking forum for discussion and debate about the status and future trends of robotics, with emphasis on its potential role to benefit humans. …

Condición: New. In English.

Taschenbuch. Condición: Neu. Robotics Research | Aude Billard (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9783031255571 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.