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Interdisciplinary Approaches To Robot Learning

paper provides a mini-introduction to a subfield of robot learning. Some also give a fine introduction to the field of robot learning as a whole;

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Recent Advances in Robot Learning

programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as;

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The Hand-eye-brain System of Intelligent Robot

This book reports the new results of intelligent robot with hand-eye-brain, from the interdisciplinary perspective of information science;

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The Hand-eye-brain System of Intelligent Robot

This book reports the new results of intelligent robot with hand-eye-brain, from the interdisciplinary perspective of information science;

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Robot Learning Human Skills and Intelligent Control Design

introduces recent results on the development of advanced LfD-based learning and control approaches to improve the robot dexterous manipulation. First;

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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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Robot Learning by Visual Observation

This book presents programming by demonstration for robot learning from observations with a focus on the trajectory level of task;

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Designing Robot Behavior in Human-Robot Interactions

control, decision and learning algorithms to enable robots to interact safely with humans in a variety of applications. Presents numerous;

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Designing Robot Behavior in Human-Robot Interactions

. Systematically discusses the control, decision and learning algorithms to enable robots to interact safely with humans in a variety of applications;

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Interdisciplinary Learning and Teaching in Higher Education

interdisciplinary programmes within multidisciplinary departments. Teaching and learning within interdisciplinary study requires new approaches, including;

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Interdisciplinary Learning and Teaching in Higher Education

interdisciplinary programmes within multidisciplinary departments. Teaching and learning within interdisciplinary study requires new approaches, including;

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Robot Learning from Human Demonstration

devote a chapter to each of these. Chapter 7 is devoted to interactive and active learning approaches that allow the robot to refine an existing;

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MultiAgent Coordination

Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot;

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Learning Robotics Using Python

Get a grip on the hands-on guide to robotics for learning various robotics concepts and build an advanced robot from scratch Who This Book;

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Reinforcement Learning of Bimanual Robot Skills

kinematics and dynamics of the robot along the learning process. It proposes practical enhancements to closed-loop inverse kinematics for redundant;

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Reinforcement Learning of Bimanual Robot Skills

kinematics and dynamics of the robot along the learning process. It proposes practical enhancements to closed-loop inverse kinematics for redundant;

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Interdisciplinary Research Approaches to Multilingual Education

. Interdisciplinary Research Approaches to Multilingual Education brings together current interdisciplinary perspectives in multilingual and second language;

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Language & Learning For Robots

questions through a theoretical approach to language and learning for robots, and by experimental work with robots. The authors develop the notion;

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Robot Shaping

foreword by Lashon Booker To program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the;

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The Map-Building and Exploration Strategies of a Simple Sonar-Equipped Mobile Robot

There are two radically different approaches to robot navigation: the first is to use a map of the robot's environment; the second uses a;

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AI based Robot Safe Learning and Control

This open access book mainly focuses on the safe control of robot manipulators. In order to enhance the safety performance of robot systems;

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Creating Standards-Based Integrated Curriculum

This completely revised edition of the classic text presents multidisciplinary, interdisciplinary, and transdisciplinary approaches to;

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Dynamics And Robust Control Of Robot-environment Interaction

problems, starting from the mathematical modeling of robots interacting with complex dynamic environments, and proceeding to various concepts for;

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Artificial Intelligence for Robotics

will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you;

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Neurorobotics

An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded;

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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

-nearest neighbours and unsupervised deep learning approaches - to develop more sophisticated and efficient monitoring techniques. Finally;

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Intelligent Robotics and Applications

joint drive for robots; modular robots and other mechatronic systems; compliant manipulation learning and control for lightweight robot;

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