Learning for Adaptive and Reactive Robot Control
A Dynamical Systems Approach
By Aude Billard, Nadia Figueroa, Sina Mirrazavi | Publisher: MIT Press
About the book
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.
Editions of Learning for Adaptive and Reactive Robot Control
- Hardcover
- ISBN 9780262046169
- EBook
- ISBN 9780262367011
Read an Excerpt
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.
Frequently Asked Questions
What is Learning for Adaptive and Reactive Robot Control about?
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. What core themes, tropes, or subjects are explored in Learning for Adaptive and Reactive Robot Control?
Technology, Engineering, Agriculture, Industrial processes > Electronics and communications engineering > Electronics engineering > Automatic control engineering > Robotics
Where can I read a sample of Learning for Adaptive and Reactive Robot Control?
You can read an official preview of the few pages here https://www.book2look.com/book/9780262046169
Is Learning for Adaptive and Reactive Robot Control part of a series, and can it be read as a standalone?
Yes it is a part of series Intelligent Robotics and Autonomous Agents series
Who is/are the Author/s of the book Learning for Adaptive and Reactive Robot Control?
Aude Billard, Nadia Figueroa, Sina Mirrazavi
Who is the Publisher of the book Learning for Adaptive and Reactive Robot Control?
MIT Press
What are the ISBN numbers for the physical and digital editions?
Learning for Adaptive and Reactive Robot Control is available as hardcover(ISBN 9780262046169) and ebook(ISBN 9780262367011)
Where can I buy Learning for Adaptive and Reactive Robot Control online or support local independent bookshops?
You can buy Learning for Adaptive and Reactive Robot Control from below
Where can I buy Learning for Adaptive and Reactive Robot Control?