Learning for Adaptive and Reactive Robot Control: A Dynamical Systems Approach

(Part of the Intelligent Robotics and Autonomous Agents Series)

by Aude Billard, Nadia Figueroa, Sina Mirrazavi

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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...

Format:Hardcover

Language:English

ISBN:0262046164

ISBN13:9780262046169

Release Date:February 2022

Publisher:MIT Press

Length:424 Pages

Weight:2.75 lbs.

Dimensions:1.1" x 7.1" x 10.1"

Related Subjects

Computers Computers & Technology Engineering Technology

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Learning for Adaptive and Reactive Robot Control: A Dynamical Systems Approach

(Part of the Intelligent Robotics and Autonomous Agents Series)

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