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In the past years there has been considerable effort to move robots from industrial environments to our daily lives where they can collaborate and interact with
Human-Robot Interaction Control Using Reinforcement Learning
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A comprehensive exploration of the control schemes of human-robot interactions In Human-Robot Interaction Control Using Reinforcement Learning, an expert team o
Learning for Adaptive and Reactive Robot Control
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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 w
Cognitive Computing for Human-Robot Interaction
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Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the of
Human-in-the-Loop Machine Learning
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Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data,