Chenguang Yang's Books

Human-in-the-loop Learning and Control for Robot Teleoperation

By: Chenguang Yang,Jing Luo,Ning Wang

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Human-in-the-loop Learning and Control for Robot Teleoperation

By: Chenguang Yang,Jing Luo,Ning Wang

Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect. - Introduces research progress and technical contributions on teleoperation robots, including intelligent human-robot interactions and learning and control algorithms for teleoperation - Presents control strategies and learning algorithms to a teleoperation framework to enhance human-robot shared control, bi-directional perception and intelligence of the teleoperation system - Discusses several control and learning methods, describes the working implementation and shows how these methods can be applied to a specific and practical teleoperation system

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Page Count

268

Publisher

Elsevier

Published Date

ISBN 10

0323958435

ISBN 13

9780323958431

Advanced Technologies in Modern Robotic Applications

By: Chenguang Yang,Hongbin Ma,Mengyin Fu

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Advanced Technologies in Modern Robotic Applications

By: Chenguang Yang,Hongbin Ma,Mengyin Fu

This book presents in a systematic manner the advanced technologies used for various modern robot applications. By bringing fresh ideas, new concepts, novel methods and tools into robot control, robot vision, human robot interaction, teleoperation of robot and multiple robots system, we are to provide a state-of-the-art and comprehensive treatment of the advanced technologies for a wide range of robotic applications. Particularly, we focus on the topics of advanced control and obstacle avoidance techniques for robot to deal with unknown perturbations, of visual servoing techniques which enable robot to autonomously operate in a dynamic environment, and of advanced techniques involved in human robot interaction. The book is primarily intended for researchers and engineers in the robotic and control community. It can also serve as complementary reading for robotics at the both graduate and undergraduate levels.

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Page Count

428

Publisher

Springer

Published Date

ISBN 10

9811008302

ISBN 13

9789811008306

Robot Learning Human Skills and Intelligent Control Design

By: Chenguang Yang,Chao Zeng,Jianwei Zhang

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Robot Learning Human Skills and Intelligent Control Design

By: Chenguang Yang,Chao Zeng,Jianwei Zhang

In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks. Especially, robots are supposed to be able to learn manipulation skills from humans. To this end, a number of learning algorithms and techniques have been developed and successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and efficiently acquire skills by learning from human demonstrators, such that a robot can be quickly programmed to perform a new task. This book introduces recent results on the development of advanced LfD-based learning and control approaches to improve the robot dexterous manipulation. First, there's an introduction to the simulation tools and robot platforms used in the authors' research. In order to enable a robot learning of human-like adaptive skills, the book explains how to transfer a human user’s arm variable stiffness to the robot, based on the online estimation from the muscle electromyography (EMG). Next, the motion and impedance profiles can be both modelled by dynamical movement primitives such that both of them can be planned and generalized for new tasks. Furthermore, the book introduces how to learn the correlation between signals collected from demonstration, i.e., motion trajectory, stiffness profile estimated from EMG and interaction force, using statistical models such as hidden semi-Markov model and Gaussian Mixture Regression. Several widely used human-robot interaction interfaces (such as motion capture-based teleoperation) are presented, which allow a human user to interact with a robot and transfer movements to it in both simulation and real-word environments. Finally, improved performance of robot manipulation resulted from neural network enhanced control strategies is presented. A large number of examples of simulation and experiments of daily life tasks are included in this book to facilitate better understanding of the readers.

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Page Count

184

Publisher

CRC Press

Published Date

ISBN 10

1000395170

ISBN 13

9781000395174

Advanced Control of Wheeled Inverted Pendulum Systems

By: Zhijun Li,Chenguang Yang,Liping Fan

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Advanced Control of Wheeled Inverted Pendulum Systems

By: Zhijun Li,Chenguang Yang,Liping Fan

Advanced Control of Wheeled Inverted Pendulum Systems is an orderly presentation of recent ideas for overcoming the complications inherent in the control of wheeled inverted pendulum (WIP) systems, in the presence of uncertain dynamics, nonholonomic kinematic constraints as well as underactuated configurations. The text leads the reader in a theoretical exploration of problems in kinematics, dynamics modeling, advanced control design techniques and trajectory generation for WIPs. An important concern is how to deal with various uncertainties associated with the nominal model, WIPs being characterized by unstable balance and unmodelled dynamics and being subject to time-varying external disturbances for which accurate models are hard to come by. The book is self-contained, supplying the reader with everything from mathematical preliminaries and the basic Lagrange-Euler-based derivation of dynamics equations to various advanced motion control and force control approaches as well as trajectory generation method. Although primarily intended for researchers in robotic control, Advanced Control of Wheeled Inverted Pendulum Systems will also be useful reading for graduate students studying nonlinear systems more generally.

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Page Count

226

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447129636

ISBN 13

9781447129639

Human-in-the-loop Learning and Control for Robot Teleoperation

By: Chenguang Yang,Jing Luo,Ning Wang

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Human-in-the-loop Learning and Control for Robot Teleoperation

By: Chenguang Yang,Jing Luo,Ning Wang

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Page Count

268

Publisher

Elsevier

Published Date

ISBN 10

0323958435

ISBN 13

9780323958431

Interdisciplinary Evolution of the Machine Brain

Vision, Touch & Mind

By: Wenfeng Wang,Hengjin Cai,Xiangyang Deng,Chenguang Lu,Limin Zhang

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Interdisciplinary Evolution of the Machine Brain

Vision, Touch & Mind

By: Wenfeng Wang,Hengjin Cai,Xiangyang Deng,Chenguang Lu,Limin Zhang

This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.

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Page Count

154

Publisher

Springer Nature

Published Date

ISBN 10

9813342447

ISBN 13

9789813342446

Machine Reading Comprehension

Algorithms and Practice

By: Chenguang Zhu

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Machine Reading Comprehension

Algorithms and Practice

By: Chenguang Zhu

Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Reading Comprehension: Algorithms and Practice performs a deep-dive into MRC, offering a resource on the complex tasks this technology involves. The title presents the fundamentals of NLP and deep learning, before introducing the task, models, and applications of MRC. This volume gives theoretical treatment to solutions and gives detailed analysis of code, and considers applications in real-world industry. The book includes basic concepts, tasks, datasets, NLP tools, deep learning models and architecture, and insight from hands-on experience. In addition, the title presents the latest advances from the past two years of research. Structured into three sections and eight chapters, this book presents the basis of MRC; MRC models; and hands-on issues in application. This book offers a comprehensive solution for researchers in industry and academia who are looking to understand and deploy machine reading comprehension within natural language processing. - Presents the first comprehensive resource on machine reading comprehension (MRC) - Performs a deep-dive into MRC, from fundamentals to latest developments - Offers the latest thinking and research in the field of MRC, including the BERT model - Provides theoretical discussion, code analysis, and real-world applications of MRC - Gives insight from research which has led to surpassing human parity in MRC

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Page Count

272

Publisher

Elsevier

Published Date

ISBN 10

0323901190

ISBN 13

9780323901192

Robot Learning Human Skills and Intelligent Control Design

By: Chenguang Yang,Chao Zeng,Jianwei Zhang

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Robot Learning Human Skills and Intelligent Control Design

By: Chenguang Yang,Chao Zeng,Jianwei Zhang

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Solve jigsaw puzzle

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Page Count

184

Publisher

CRC Press

Published Date

ISBN 10

1000395170

ISBN 13

9781000395174

Advanced Control of Wheeled Inverted Pendulum Systems

By: Zhijun Li,Chenguang Yang,Liping Fan

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Advanced Control of Wheeled Inverted Pendulum Systems

By: Zhijun Li,Chenguang Yang,Liping Fan

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Solve jigsaw puzzle

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Page Count

226

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447129636

ISBN 13

9781447129639

Book's by Chenguang Yang

Human-in-the-loop Learning and Control for Robot Teleoperation

Human-in-the-loop Learning and Control for Robot Teleoperation

Advanced Technologies in Modern Robotic Applications

Advanced Technologies in Modern Robotic Applications

Robot Learning Human Skills and Intelligent Control Design

Robot Learning Human Skills and Intelligent Control Design

Advanced Control of Wheeled Inverted Pendulum Systems

Advanced Control of Wheeled Inverted Pendulum Systems

Human-in-the-loop Learning and Control for Robot Teleoperation

Human-in-the-loop Learning and Control for Robot Teleoperation

Interdisciplinary Evolution of the Machine Brain

Interdisciplinary Evolution of the Machine Brain

Machine Reading Comprehension

Machine Reading Comprehension

Robot Learning Human Skills and Intelligent Control Design

Robot Learning Human Skills and Intelligent Control Design

Advanced Control of Wheeled Inverted Pendulum Systems

Advanced Control of Wheeled Inverted Pendulum Systems

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