Control Design for Haptic Systems

Kim, Suyong|Lee, Doo Yong

ISBN 10: 9819985978 / ISBN 13: 9789819985975

Published by Springer, Berlin|Springer Nature Singapore|Springer, 2024

About this Item

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book aims at the upper-class undergraduate and the graduate students, and practicing engineers in the disciplines of mechanical, electrical, and computer engineering, with background knowledge of control. This book, first, explains the components of th.

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Bibliographic Details

• Title: Control Design for Haptic Systems
• Publisher: Springer, Berlin|Springer Nature Singapore|Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 9819985978
• ISBN 13: 9789819985975
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This book aims at the upper-class undergraduate and the graduate students, and practicing engineers in the disciplines of mechanical, electrical, and computer engineering, with background knowledge of control. This book, first, explains the components of the haptic systems that are gaining popularity in the virtual reality simulations, the metaverse applications, as well as the remotely operated robotic systems. Next, the book introduces the previous and current widely-adopted methods for modeling and control of the haptic systems. The important metrics of performance such as stability and transparency of the haptic systems are explained and analyzed. Shortcomings of the current methods are discussed using these metrics. The book, then, explains the theories on the input-to-state stability (ISS), and shows how to formulate the control of haptic systems into the ISS framework. Step by step process of control design using the formulation is detailed, and better results are shown with experiment examples. The book develops further the presented approach to secure improved performance under selected issues. For example, better transparency of the haptic rendering, and handling of constant or time-varying time delay present in the haptic control systems.

About the Author

Suyong Kim received the B.S. (Magna Cum Laude), M.S., and Ph.D. degrees from Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea in 2015, 2017, and 2022, respectively. He was a Postdoctoral Researcher at KAIST, and is a Staff Engineer at Global AI Center of Samsung Research. His research interests include medical robotics, control, and haptics. He received the scholarship of Kwanjeong Educational Foundation from 2015 to 2016, and Best Paper Awards of Korean Society of Mechanical Engineers (KSME) Conferences in 2017 and 2022.

 

Doo Yong Lee received the B.S. degree from Department of Control and Instrumentation Engineering, Seoul National University, Korea in 1985, and the M.S. and Ph.D. degrees from Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA in 1987 and 1993, respectively. He was a Postdoctoral Research Associate at Rensselaer Polytechnic Institute from 1993 to 1994. He joined Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST) in 1994, and is POSCO Endowed Chair Professor of KAIST. He was Director of Health Technology Infrastructure of Korea Health Industry Development Institute from 2010 to 2012, and Head of Department of Mechanical Engineering, KAIST from 2017 to 2021. He was President of Institute of Control, Robotics, and Systems (ICROS) in 2021. His research interests include robotics and simulation with medical applications, especially robotic medical devices, and high-fidelity interactive medical simulation with haptic interface for training and planning purposes. He is a member of National Academy of Engineering of Korea, and Fellow of ICROS. He received Korea Prime Minister’s Commendation in 2018 for technical contributions to the field.