Chengkuo Lee

Prof. Chengkuo Lee

National Research Council - CNR
orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

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

Representative Publications

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9 March 2023 in ACS Nano
Verified
Journal Article
Closed access
Yifei LuoYifei Luo
Yifei Luo
MAMohammad Reza Abidian
Mohammad Reza Abidian
JAJong-Hyun Ahn
Jong-Hyun Ahn
DADeji Akinwande
Deji Akinwande
AAAnne M. Andrews
Anne M. Andrews
XCXiaodong Chen
Xiaodong Chen

1 December 2018 in Applied Physics Reviews
Verified
Journal Article
Closed access
PDF file
Huicong LiuHuicong Liu
Huicong Liu
JZJunwen Zhong
Junwen Zhong
Chengkuo LeeChengkuo Lee
Chengkuo Lee
SLSeung-Wuk Lee
Seung-Wuk Lee
LLLiwei Lin
Liwei Lin
The last decade has witnessed significant advances in energy harvesting technologies as a possible alternative to provide a continuous power supply for small, low-power devices in applications, such as wireless sensing, data transmission, actuation, and medical implants. Piezoelectric energy harvesting (PEH) has been a salient topic in the literature and has attracted widespread attention from researchers due to its advantages of simple architecture, high power density, and good scalability. This paper presents a comprehensive review on the state-of-the-art of piezoelectric energy harvesting. Various key aspects to improve the overall performance of a PEH device are discussed, including basic fundamentals and configurations, materials and fabrication, performance enhancement mechanisms, applications, and future outlooks.

8 May 2020 in Science Advances
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Journal Article
Open access
PDF file
Minglu ZhuMinglu Zhu
Minglu Zhu
ZSZhongda Sun
Zhongda Sun
ZZZixuan Zhang
Zixuan Zhang
Qiongfeng ShiQiongfeng Shi
Qiongfeng Shi
THTianyiyi He
Tianyiyi He
Chengkuo LeeChengkuo Lee
Chengkuo Lee
A haptic-feedback glove with triboelectric sensors and piezoelectric stimulators is developed for interaction in virtual space.

23 October 2020 in Nature Communications
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Journal Article
Open access
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TJTao Jin
Tao Jin
ZSZhongda Sun
Zhongda Sun
Long LiLong Li
Long Li
QZQuan Zhang
Quan Zhang
MZMinglu Zhu
Minglu Zhu
Chengkuo LeeChengkuo Lee
Chengkuo Lee
Designing efficient sensors for soft robotics aiming at human machine interaction remains a challenge. Here, we report a smart soft-robotic gripper system based on triboelectric nanogenerator sensors to capture the continuous motion and tactile information for soft gripper. With the special distributed electrodes, the tactile sensor can perceive the contact position and area of external stimuli. The gear-based length sensor with a stretchable strip allows the continuous detection of elongation via the sequential contact of each tooth. The triboelectric sensory information collected during the operation of soft gripper is further trained by support vector machine algorithm to identify diverse objects with an accuracy of 98.1%. Demonstration of digital twin applications, which show the object identification and duplicate robotic manipulation in virtual environment according to the real-time operation of the soft-robotic gripper system, is successfully created for virtual assembly lines and unmanned warehouse applications.

12 July 2020 in InfoMat
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Journal Article
Open access
PDF file
QSQiongfeng Shi
Qiongfeng Shi
BDBowei Dong
Bowei Dong
THTianyiyi He
Tianyiyi He
ZSZhongda Sun
Zhongda Sun
JZJianxiong Zhu
Jianxiong Zhu
Chengkuo LeeChengkuo Lee
Chengkuo Lee
The past few years have witnessed the significant impacts of wearable electronics/photonics on various aspects of our daily life, for example, healthcare monitoring and treatment, ambient monitoring, soft robotics, prosthetics, flexible display, communication, human‐machine interactions, and so on. According to the development in recent years, the next‐generation wearable electronics and photonics are advancing rapidly toward the era of artificial intelligence (AI) and internet of things (IoT), to achieve a higher level of comfort, convenience, connection, and intelligence. Herein, this review provides an opportune overview of the recent progress in wearable electronics, photonics, and systems, in terms of emerging materials, transducing mechanisms, structural configurations, applications, and their further integration with other technologies. First, development of general wearable electronics and photonics is summarized for the applications of physical sensing, chemical sensing, human‐machine interaction, display, communication, and so on. Then self‐sustainable wearable electronics/photonics and systems are discussed based on system integration with energy harvesting and storage technologies. Next, technology fusion of wearable systems and AI is reviewed, showing the emergence and rapid development of intelligent/smart systems. In the last section of this review, perspectives about the future development trends of the next‐generation wearable electronics/photonics are provided, that is, toward multifunctional, self‐sustainable, and intelligent wearable systems in the AI/IoT era. image

5 September 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
ZSZhongda Sun
Zhongda Sun
MZMinglu Zhu
Minglu Zhu
XSXuechuan Shan
Xuechuan Shan
Chengkuo LeeChengkuo Lee
Chengkuo Lee
Advancements of virtual reality technology pave the way for developing wearable devices to enable somatosensory sensation, which can bring more comprehensive perception and feedback in the metaverse-based virtual society. Here, we propose augmented tactile-perception and haptic-feedback rings with multimodal sensing and feedback capabilities. This highly integrated ring consists of triboelectric and pyroelectric sensors for tactile and temperature perception, and vibrators and nichrome heaters for vibro- and thermo-haptic feedback. All these components integrated on the ring can be directly driven by a custom wireless platform of low power consumption for wearable/portable scenarios. With voltage integration processing, high-resolution continuous finger motion tracking is achieved via the triboelectric tactile sensor, which also contributes to superior performance in gesture/object recognition with artificial intelligence analysis. By fusing the multimodal sensing and feedback functions, an interactive metaverse platform with cross-space perception capability is successfully achieved, giving people a face-to-face like immersive virtual social experience.