Isbn: 9780262046169 - learning for adaptive and reactive robot control: a dynamical systems approach (28 risultati)

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Hardcover. Condizione: 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.…

Condizione: New. pp. 424.

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Buch. Condizione: 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. Condizione: 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.…

Buch. Condizione: Neu. Neuware - 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.…

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