Chi Zhang

Prof. Dr. Chi Zhang

Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

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

Representative Publications

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17 May 2018 in ACS Nano
Verified
Journal Article
Closed access
RCRan Cao
Ran Cao
XPXianjie Pu
Xianjie Pu
XDXinyu Du
Xinyu Du
WYWei Yang
Wei Yang
JWJiaona Wang
Jiaona Wang
Zhong Lin WangZhong Lin Wang
Zhong Lin Wang

23 November 2019 in Energy & Environmental Science
Verified
Journal Article
Closed access
PDF file
XLXi Liang
Xi Liang
TJTao Jiang
Tao Jiang
GLGuoxu Liu
Guoxu Liu
YFYawei Feng
Yawei Feng
Chi ZhangChi Zhang
Chi Zhang
Zhong Lin WangZhong Lin Wang
Zhong Lin Wang
A spherical TENG with a spring-assisted multilayered structure was power-managed to effectively harvest multidirectional water wave energy.

26 August 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
WLWenbo Liu
Wenbo Liu
YDYouning Duo
Youning Duo
JLJiaqi Liu
Jiaqi Liu
FYFeiyang Yuan
Feiyang Yuan
LLLei Li
Lei Li
LWLi Wen
Li Wen
In this paper, we propose a multimodal flexible sensory interface for interactively teaching soft robots to perform skilled locomotion using bare human hands. First, we develop a flexible bimodal smart skin (FBSS) based on triboelectric nanogenerator and liquid metal sensing that can perform simultaneous tactile and touchless sensing and distinguish these two modes in real time. With the FBSS, soft robots can react on their own to tactile and touchless stimuli. We then propose a distance control method that enabled humans to teach soft robots movements via bare hand-eye coordination. The results showed that participants can effectively teach a self-reacting soft continuum manipulator complex motions in three-dimensional space through a “shifting sensors and teaching” method within just a few minutes. The soft manipulator can repeat the human-taught motions and replay them at different speeds. Finally, we demonstrate that humans can easily teach the soft manipulator to complete specific tasks such as completing a pen-and-paper maze, taking a throat swab, and crossing a barrier to grasp an object. We envision that this user-friendly, non-programmable teaching method based on flexible multimodal sensory interfaces could broadly expand the domains in which humans interact with and utilize soft robots.

13 March 2018 in Advanced Materials
Verified
Journal Article
Closed access
PDF file
TBTianzhao Bu
Tianzhao Bu
TXTianxiao Xiao
Tianxiao Xiao
ZYZhiwei Yang
Zhiwei Yang
GLGuoxu Liu
Guoxu Liu
XFXianpeng Fu
Xianpeng Fu
Zhong Lin WangZhong Lin Wang
Zhong Lin Wang

9 January 2019 in Advanced Functional Materials
Verified
Journal Article
Closed access
PDF file
XLXi Liang
Xi Liang
TJTao Jiang
Tao Jiang
GLGuoxu Liu
Guoxu Liu
TXTianxiao Xiao
Tianxiao Xiao
LXLiang Xu
Liang Xu
Zhong Lin WangZhong Lin Wang
Zhong Lin Wang

30 January 2020 in Advanced Energy Materials
Verified
Journal Article
Closed access
PDF file
ZZZhi Zhang
Zhi Zhang
DJDongdong Jiang
Dongdong Jiang
JZJunqing Zhao
Junqing Zhao
GLGuoxu Liu
Guoxu Liu
TBTianzhao Bu
Tianzhao Bu
Zhong Lin WangZhong Lin Wang
Zhong Lin Wang