
Shuyu Wang
Northeastern University, Qinhuangdao campus
Dr. Shuyu Wang is an Assistant Professor in Control engineering, Northeastern University at Qinhuangdao Campus in China. After beginning his career at NEUQ, he works on diverse areas, including soft robotics and computational biology. He also led efforts to design algorithms to automate sensor data processing. His recent work focuses on leveraging AI to gain insights from multi-modal sensing data for robots. He has co-authored over 20 scholarly research articles (15 SCI index) and received two patents. He has been invited to present at conferences in fields ranging from flexible sensors for soft robots to computational biology. Professor Wang received BE in Mechanical Engineering from Huazhong University of Science and Technology and was a recipient of the Shantui Prize for academic achievement. He subsequently entered graduate school at Stony Brook University, SUNY, where he received PhD in mechanical engineering under the supervision of Professor Lei Zuo. After graduating, Professor Wang worked as an engineer at Globalfoundries in the frame group. Upon finishing his industry work, Professor Wang joined the NEUQ as an assistant professor. Currently Professor Wang leads a group consisting of 5 graduate students and several undergraduate. He taught two courses and guided undergraduate students, winning Second prize in Innovation and Entrepreneurship Competition. Professor Wang's research has been generously supported by grants from the the National Science Foundation, the National Science Foundation of Hebei Province, and Research Fund for Central University.

Yuliang Zhao
Northeastern University, Qinhuangdao campus
Yuliang Zhao is an associate professor at Northeastern University at Qinhuangdao campus. He obtained his PhD degree from Hongkong City University. His current research interests are flexible electronics and machine learning.
Soft robots are on the rise, as they are adaptable and lightweight, enabling safer physical human-robot interaction. Meanwhile, recent development in additive manufacturing, flexible sensor/actuators, and intelligent computation provided new opportunities for research of soft robots. The goal of this collection is to demonstrate the impact of interdisciplinary advancement in the soft robotics field. The insightful vision and innovative collaboration examples presented in this method collection will lead the future directions of soft robotics.
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Cited by 4
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2023
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Hongge Ru1, WeiJian Gao2, Weixuan Ou2, Xingyue Yang1, Andong Li1, Zhongzheng Fu1, Jun Huo1, Bo Yang1, Yanzhao Zhang3, Xiling Xiao3, Zhaohui Yang3, Jian Huang1
1Key Laboratory for Image Processing and Intelligent Control of Education Ministry of China, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, 2School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 3Wuhan Union Hospital, Huazhong University of Science and Technology Tongji Medical College First Clinical College Union Hospital
4D Printing of Stimuli-Responsive Hydrogel-based Soft Robots
Jiho Choi1,
Yeonjae Lee1,
Sue Min Park1,
ChangKyu Yoon*1,
Youngeun Choi*1
1Sookmyung Women's University