
Motion Control of Soft Robots
Academic Press
Published on 8. August 2025
Book
Paperback/Softback
216 pages
978-0-443-14018-1 (ISBN)
Description
Motion Control of Soft Robots provides an overview of the general concepts and most recent technological updates in soft robot motion control. The book provides systematic coverage of theoretical and practical aspects in system modeling and motion control strategies, presenting novel ideas, methods, and future outlook related to motion control of soft actuators and robots, including model-based control, model-free control, and bioinspired control. This book is useful for researchers, engineers, and students of robotics who can expect to learn how to design and implement various techniques to obtain solutions to control problems in soft robot control and nonlinear system control.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 229 mm
Width: 152 mm
Weight
450 gr
ISBN-13
978-0-443-14018-1 (9780443140181)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Wenyu Liang | Jiawei Cao | Qinyuan Ren
Motion Control of Soft Robots
E-Book
07/2025
Elsevier
€149.99
Available for download
Persons
Wenyu Liang is a scientist at the Institute for Infocomm Research, A*STAR, Singapore, and an adjunct assistant professor in the Department of Electrical and Computer Engineering, National University of Singapore. He has authored or co-authored over 90 publications, including one book, two book chapters and more than 40 published journal papers. He has also received several awards related to innovation such as Merit Award, Tan Kah Kee Young Inventors' Award 2016: Open Section, etc. His research interests mainly include robotics, precision motion control, and force/tactile control with applications in industrial, medical, and agricultural technology. Jiawei Cao is a research scientist at Temasek Laboratories, National University of Singapore. He has authored and co-authored more than 20 publications on robotics, including highly ranked journal papers and top conference papers. He also serves as reviewers for several international journals and top conferences. His research interests include soft robotics, bioinspired motion control, multi-robot systems, multi-agent reinforcement learning and autonomous navigation. Qinyuan Ren is a robotics scientist at the Institute for Infocomm Research (I2R), A*STAR, in Singapore, and professor at the College of Control Science and Engineering, Zhejiang University, in China. He is a principal investigator (PI) of several national Mega-fund projects and serves as the editorial member for two international journals. He is a Senior IEEE Member now and his research interests include nonlinear systems, bioinspired and biomimetic robotics, motion control and artificial nervous system. Wenxin Zhu is a PhD candidate at the College of Control Science and Engineering, Zhejiang University, China. She served as a research assistant at the Institute for Infocomm Research, A*STAR, Singapore from 2023 to 2024 and was involved in organizing several international conferences. Her research interests include motion control, human-robot interaction, and soft robotics.
Author
Scientist, Institute for Infocomm Research, Fusionopolis Way, Connexis North Tower, Singapore. Adjunct Assistant Professor, Department of Electrical and Computer Engineering, National University of Singapore (NUS), Engineering Drive, Singapore
Research Scientist, Temasek Laboratories, National University of Singapore (NUS), Singapore
Scientist, Institute for Infocomm Research (I2R), Fusionopolis Way, Connexis North Tower, Singapore.Professor, College of Control Science and Engineering, Zhejiang University (Yuquan Campus), Hangzhou, Zhejiang, P. R. China
PhD candidate at the College of Control Science and Engineering, Zhejiang University, China
Content
1. Introduction
2. Soft Actuator Motion Control
3. Robust Motion Control of a Soft Inchworm Robot
4. Bioinspired Approach for Motion Control of a Soft Actuator
5. Motion Control of a Circular Soft Robot via Iterative Learning Control
6. Motion Control of a Manipulator Based on Dielectric Elastomer Actuators in Antagonistic Pairs
7. Intelligent Motion Control of Antagonistic McKibben Muscles
8. Learning-Based Motion Control of a Dielectric Elastomer Actuator-Driven Mobile Robot
2. Soft Actuator Motion Control
3. Robust Motion Control of a Soft Inchworm Robot
4. Bioinspired Approach for Motion Control of a Soft Actuator
5. Motion Control of a Circular Soft Robot via Iterative Learning Control
6. Motion Control of a Manipulator Based on Dielectric Elastomer Actuators in Antagonistic Pairs
7. Intelligent Motion Control of Antagonistic McKibben Muscles
8. Learning-Based Motion Control of a Dielectric Elastomer Actuator-Driven Mobile Robot