Qianqian Wang

Prof. Dr. Qianqian Wang

Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong SAR 999077, China
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 March 2021 in Science Robotics
Verified
Journal Article
Closed access
PDF file
BWBen Wang
Ben Wang
KCKai Fung Chan
Kai Fung Chan
KYKe Yuan
Ke Yuan
Qianqian WangQianqian Wang
Qianqian Wang
XXXianfeng Xia
Xianfeng Xia
Li ZhangLi Zhang
Li Zhang
Biohybrid soft microrobots are rapidly delivered to tortuous and tiny lumens deep inside the digestive system.

26 February 2021 in Science Advances
Verified
Journal Article
Open access
PDF file
Qianqian WangQianqian Wang
Qianqian Wang
KCKai Fung Chan
Kai Fung Chan
KSKathrin Schweizer
Kathrin Schweizer
XDXingzhou Du
Xingzhou Du
DJDongdong Jin
Dongdong Jin
Li ZhangLi Zhang
Li Zhang
Ultrasound Doppler–guided formation and navigation of nanoparticle microswarm enable real-time active endovascular delivery.

1 January 2024 in Cyborg and Bionic Systems
Verified
Journal Article
Open access
SZShuai Zhou
Shuai Zhou
YLYuanhang Li
Yuanhang Li
Qianqian WangQianqian Wang
Qianqian Wang
ZLZhiyang Lyu
Zhiyang Lyu
Soft robotics has received substantial attention due to its remarkable deformability, making it well-suited for a wide range of applications in complex environments, such as medicine, rescue operations, and exploration. Within this domain, the interaction of actuation and sensing is of utmost importance for controlling the movements and functions of soft robots. Nonetheless, current research predominantly focuses on isolated actuation and sensing capabilities, often neglecting the critical integration of these 2 domains to achieve intelligent functionality. In this review, we present a comprehensive survey of fundamental actuation strategies and multimodal actuation while also delving into advancements in proprioceptive and haptic sensing and their fusion. We emphasize the importance of integrating actuation and sensing in soft robotics, presenting 3 integration methodologies, namely, sensor surface integration, sensor internal integration, and closed-loop system integration based on sensor feedback. Furthermore, we highlight the challenges in the field and suggest compelling directions for future research. Through this comprehensive synthesis, we aim to stimulate further curiosity among researchers and contribute to the development of genuinely intelligent soft robots.


12 May 2023 in Science Advances
Verified
Journal Article
Open access
DJDongdong Jin
Dongdong Jin
QWQinglong Wang
Qinglong Wang
KCKai Fung Chan
Kai Fung Chan
NXNeng Xia
Neng Xia
HYHaojin Yang
Haojin Yang
Li ZhangLi Zhang
Li Zhang
The recent rise of swarming microrobotics offers great promise in the revolution of minimally invasive embolization procedure for treating aneurysm. However, targeted embolization treatment of aneurysm using microrobots has significant challenges in the delivery capability and filling controllability. Here, we develop an interventional catheterization-integrated swarming microrobotic platform for aneurysm on-demand embolization in physiological blood flow. A pH-responsive self-healing hydrogel doped with magnetic and imaging agents is developed as the embolic microgels, which enables long-term self-adhesion under biological condition in a controllable manner. The embolization strategy is initiated by catheter-assisted deployment of swarming microgels, followed by the application of external magnetic field for targeted aggregation of microrobots into aneurysm sac under the real-time guidance of ultrasound and fluoroscopy imaging. Mild acidic stimulus is applied to trigger the welding of microgels with satisfactory bio-/hemocompatibility and physical stability and realize complete embolization. Our work presents a promising connection between the design and control of microrobotic swarms toward practical applications in dynamic environments.

21 February 2024 in Science Robotics
Verified
Journal Article
Closed access
QWQinglong Wang
Qinglong Wang
Qianqian WangQianqian Wang
Qianqian Wang
ZNZhipeng Ning
Zhipeng Ning
KCKai Fung Chan
Kai Fung Chan
JJJialin Jiang
Jialin Jiang
Li ZhangLi Zhang
Li Zhang
Micro/nanorobotic swarms consisting of numerous tiny building blocks show great potential in biomedical applications because of their collective active delivery ability, enhanced imaging contrast, and environment-adaptive capability. However, in vivo real-time imaging and tracking of micro/nanorobotic swarms remain a challenge, considering the limited imaging size and spatial-temporal resolution of current imaging modalities. Here, we propose a strategy that enables real-time tracking and navigation of a microswarm in stagnant and flowing blood environments by using laser speckle contrast imaging (LSCI), featuring full-field imaging, high temporal-spatial resolution, and noninvasiveness. The change in dynamic convection induced by the microswarm can be quantitatively investigated by analyzing the perfusion unit (PU) distribution, offering an alternative approach to investigate the swarm behavior and its interaction with various blood environments. Both the microswarm and surrounding environment were monitored and imaged by LSCI in real time, and the images were further analyzed for simultaneous swarm tracking and navigation in the complex vascular system. Moreover, our strategy realized real-time tracking and delivery of a microswarm in vivo, showing promising potential for LSCI-guided active delivery of microswarm in the vascular system.