The research of Wang Lab will focus on three aspects.
- The design, manufacture and control of miniature soft robots, and their applications in minimally invasive medicine, biomechanics and microfluidics.
- The design, manufacture and control of miniature swarm robots, and their applications in biomedicine and biomechanics.
- The modeling, design, manufacture and control of intelligent soft materials and devices based on mechanics model and machine learning.
Group News
2024
- (Jan. 05, 2024) Our sensor article “A Compact and Robust 6-DoF Pose Tracking System Using Magnetic-Inertial Sensors and a Single Uniaxial Electromagnetic Coil” is online now on IEEE Sensors Journal. Congrats, Dong and Wang!
2023
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(Dec. 04, 2023) Our paper “Active 6-DoF Electromagnetic Pose Tracking Using Orientation Control of the Magnetic Source” is online now on 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO). Congrats, Shen, Dong, Liu and Zhang!
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(Nov. 18, 2023) Our robotics paper “Three-degrees-of-freedom orientation manipulation of small untethered robots with a single anisotropic soft magnet” is online now on Nature Communications. Congrats, Wang, Cui, Tian and Han!
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(Jul. 26, 2023) We had the honor of hosting researcher Shuangyi Wang from the Institute of Automation at the Chinese Academy of Sciences for an academic lecture titled “Practice and Exploration of Robotic Upgrades in Medical Diagnosis and Treatment Equipment”.
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(Jun. 28, 2023) Our paper “A Virtual Ultrasonography Simulator for Skill Training Using Magnetic-Inertial Probe Tracking” is online now on IEEE/ASME Transactions on Mechatronics. Congrats, Wang, Dong and co-authors!
2022
- (Sep. 23, 2022) Our article “Identification of Workspace of the Soft-Magnet Based Position Tracking System for Medical Robots Using Parallel Experiments” is online now on IEEE Journal of Radio Frequency Identification. Furthermore, the paper wins the Best Application Paper Award in 2022 International Conference on Digital Twins and Parallel Intelligence (Corresponding Author). Congrats, Wen and Wang!