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Can I read Learning for Adaptive and Reactive Robot Control: A Dynamical Systems Approach (Intelligent Robotics and Autonomous Agents series) on EtoBox?

Learning for Adaptive and Reactive Robot Control: A Dynamical Systems Approach (Intelligent Robotics and Autonomous Agents series) by Aude Billard, Sina Mirrazavi, Nadia Figueroa is a nonfiction available to read on EtoBox.

What is Learning for Adaptive and Reactive Robot Control: A Dynamical Systems Approach (Intelligent Robotics and Autonomous Agents series) 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

Who reads Learning for Adaptive and Reactive Robot Control: A Dynamical Systems Approach (Intelligent Robotics and Autonomous Agents series)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Aude Billard, Sina Mirrazavi, Nadia Figueroa
Publisher
The MIT Press
Published
2022
Language
EN
ISBN
9780262367011
Category
nonfiction
Subjects
Computer Science, Engineering, Robotics & Artificial Intelligence

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