Learning for Adaptive and Reactive Robot Control

Name: Learning for Adaptive and Reactive Robot Control
Brand: MIT Press Ltd
SKU: 9780262046169
Price: 97.07 EUR
Availability: InStock

A Dynamical Systems Approach

Автор: Aude Billard, Sina Mirrazavi

Език:

Корици: С твърди корици

Издател: MIT Press Ltd

Наличност: Външен склад

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Methods by which robots can learn control laws that enable real-time reactivity using dynamical syst...

Информация за книгата

Автор

Aude Billard, Sina Mirrazavi

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2022

страници

456

EAN

9780262046169

ISBN

0262046164

Enbook ID

37110296

Издател

MIT Press Ltd

Теглоt

1200

Размери

261 x 183 x 29

Пълно описание

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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Learning for Adaptive and Reactive Robot Control

A Dynamical Systems Approach

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