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Human-Robot Interaction Control Using Reinforcemen t Learning

, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control;

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Camera-Aided Robot Calibration

Robot calibration is the process of enhancing the accuracy of a robot by modifying its control software. This book provides a comprehensive;

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Camera-Aided Robot Calibration

Robot calibration is the process of enhancing the accuracy of a robot by modifying its control software. This book provides a comprehensive;

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Let Me Out! Starter/Beginner

graded readers offers exciting reading for every student's capabilities. Nolan is a robot, created by a lonely electronics expert, John, to run;

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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

This open access book focuses on robot introspection, which has a direct impact on physical human-robot interaction and long-term autonomy;

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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection

This open access book focuses on robot introspection, which has a direct impact on physical human-robot interaction and long-term autonomy;

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The Mechanics of Robot Grasping

model and analyze multi-finger robot grasps, and serves as a valuable reference for robotics students, researchers, and practicing robot;

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Designing Robot Behavior in Human-Robot Interactions

: Proposes a unified framework to model and analyze human-robot interactions under different modes of interactions. Systematically discusses the;

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Designing Robot Behavior in Human-Robot Interactions

Features: Proposes a unified framework to model and analyze human-robot interactions under different modes of interactions;

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A Visual Servoing Approach to Human-Robot Interactive Object Transfer

Taking human factors into account, a visual servoing approach aims to facilitate robots with real-time situational information to;

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Language & Learning For Robots

requires a natural language semantics, the authors propose a natural-model semantics which they then apply to the interpretation of robot commands;

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AI based Robot Safe Learning and Control

, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments;

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