A5073044959- Advanced Sensor and Energy Harvesting Materials
- Tactile and Sensory Interactions
- Conducting polymers and applications
- Innovative Energy Harvesting Technologies
- Muscle activation and electromyography studies
- Underwater Vehicles and Communication Systems
- Adhesion, Friction, and Surface Interactions
- Polymer composites and self-healing
- Polymer Nanocomposites and Properties
- Advanced Chemical Sensor Technologies
- Neural Networks Stability and Synchronization
- Soft Robotics and Applications
- Silicone and Siloxane Chemistry
- Distributed Control Multi-Agent Systems
- Energy Harvesting in Wireless Networks
- Modular Robots and Swarm Intelligence
- Mathematical and Theoretical Epidemiology and Ecology Models
- Electrospun Nanofibers in Biomedical Applications
- Interactive and Immersive Displays
- Electrical Contact Performance and Analysis
- Elevator Systems and Control
Tsinghua–Berkeley Shenzhen Institute
2021-2025
Tsinghua University
2021-2025
University Town of Shenzhen
2025
Bengbu University
2024
Bengbu Medical College
2024
Dalian Maritime University
2019-2022
Abstract An acoustic wave is a type of energy that clean and abundant but almost totally unused because its very low density. This study investigates novel dual‐tube Helmholtz resonator‐based triboelectric nanogenerator (HR‐TENG) for highly efficient harvesting energy. HR‐TENG composed resonant cavity, metal film with evenly distributed holes, dielectric soft one side ink‐printed electrode. Effects cavity structure, conditions, tension on the performance are investigated systematically. By...
Abstract Underwater communication is a critical and challenging issue, on account of the complex underwater environment. This study introduces an wireless approach via Maxwell’s displacement current generated by triboelectric nanogenerator. electric field can be through wire connected to nanogenerator, while signal inducted in receiver certain distance away. The received signals are basically immune disturbances from salinity, turbidity submerged obstacles. Even after passing 100 m long...
Abstract Vibration sensors are involved extensively in a variety of applications. Especially the era Internet Things, developing self‐powered vibration has become very meaningful yet challenging problem. This study investigates highly sensitive sensor based on triboelectric nanogenerator (VS‐TENG) for machinery condition monitoring. By introducing stacked structure comprising foamed aluminum, and fluorinated ethylene propylene film with gold‐plated electrode protected by two indium tin oxid...
A systematic theoretical analysis for contact-separation mode TENGs is presented, including models, methods, validation approaches, and extended applications.
Abstract With the development of artificial intelligence, stiffness sensors are extensively utilized in various fields, and their integration with robots for automated palpation has gained significant attention. This study presents a broad range self-powered sensor based on triboelectric nanogenerator (Stiff-TENG) variable inclusions soft objects detection. The Stiff-TENG employs stacked structure comprising an indium tin oxide film, elastic sponge, fluorinated ethylene propylene film...
Harvesting acoustic energy in the environment and converting it into electricity can provide essential ideas for self-powering widely distributed sensor devices age of Internet Things. In this study, we propose a low-cost, easily fabricated high-performance coniform Helmholtz resonator-based Triboelectric Nanogenerator (CHR-TENG) with purpose harvesting. Output performances CHR-TENG varied geometrical sizes were systematically investigated under different conditions. Remarkably, could...
Abstract In the rapidly advancing fields of artificial intelligence and Internet Things, there is a growing need for human‐computer interaction (HCI) solutions that are not only intuitive but also efficient easy to use. Triboelectric nanogenerators present promising approach developing wireless human‐machine interfaces, offering advantages such as simple operating principles flexible, adaptable designs. This study introduces an HCI system leverages contactless triboelectric detector (CTD)...
Abstract The embodied artificial intelligence (EAI) is driving a significant transformation in robotics, enhancing their autonomy, efficiency and evolution ability. In this rapidly evolving technological landscape, robots need numerous sensors to realize high levels of perception, precision, safety, adaptability, intelligence. Triboelectric piezoelectric address these needs by providing sensitivity, flexibility, the capability self-powered sensing, leveraging revolutionary nature...
Vibration perception can help robots recognize their dynamic states to explore the surrounding environment. However, intrinsic stretchability of soft poses challenges integrating vibration sensors. This study introduces an innovative stretchable electronic skin (e-skin) that facilitates proprioception in robots. Constructed with a thickness approximately 0.1 mm, this ultra-thin e-skin is produced using screen-printing technique liquid metal particles, incorporating kirigami design for...
This paper investigates a circle formation control problem for multi-agent systems with directed topologies via pull-based distributed event-triggered principles. Firstly, scenarios of continuous communication, principle is proposed. It proved that if the communication topology irreducible and has spanning tree, coupling can lead multiple agents to form desired formation. Then, results are extended discontinuous scenarios, where all use model their neighborhoods generate self-triggered...
Advancement in human-robot interaction (HRI) is essential for the development of intelligent robots, but there lack paradigms to integrate remote control and tactile sensing an ideal HRI. In this study, inspired by platypus beak sense, we propose a bionic electro-mechanosensory finger (EM-Finger) synergizing triboelectric visuotactile perception. A sensor array made patterned liquid-metal-polymer conductive (LMPC) layer encodes both touchless interactions with external objects into voltage...
In this paper, the functionalized nanosilica was prepared via covalent modification and used as effective nanofillers to reinforce silicone rubber matrix. The influence of on mechanical property PVMQ examined. microstructures nanocomposites were characterized by Fourier-transform infrared spectroscopy, scanning electron microscopy, X-ray diffraction. As loading reaches up 90 wt%, tensile strength nanosilica/PVMQ can reach maximum values (3.67 MPa). It noteworthy that not only could be...
This paper present the conical Helmholtz resonator-based triboelectric nanogenerator (CH-TENG) designed for highly efficient harvesting of acoustic energy in various occasions. CH-TENG consists an collecting tube, a resonant cavity and aluminum film with uniform distributed pinholes, dielectric soft one side ink-printed electrode. Furthermore, effects structure, sound wave frequency, pressure level collection tube on performance are systematically studied. Compared previous research,...
Vibration Sensors In article number 2201132, Jiyu Wang, Wenbo Ding, and co-workers design a highly sensitive self-powered vibration sensor based on the triboelectric nanogenerator (VS-TENG) for machinery condition monitoring. The VS-TENG can detect vibrations with frequencies ranging from 1 to 2000 Hz of low amplitude (≈sub-μm). It has been successfully used monitor operating conditions mechanical gear systems, reaching recognition accuracy 99.78%.
Sound energy is a ubiquitous renewable source. How to comprehensively harvest and utilize this has become hot research topic. Triboelectric Nanogenerator(TENG) can convert different forms of mechanical into kinetic energy, significant advantages in micro-nano power generation, self-driving sensing, device performance control. This work designs an ultra-high density Helmholtz resonant cavity based on triboelectric nanogenerator with printed electrode(H-TENG) for harvesting acoustic...
Triboelectric Nanogenerators (TENG), which convert mechanical energy into electrical pulses, are envisioned to lead future harvesting and self-powered sensing applications in wearable IoT sectors. While optimisation of most parameters related TENG is well understood, the impact dielectric constant, fundamental their output generation, still a highly debated topic. The intrinsic constant on performance extremely difficult assess experimentally, as it closely associates with other like surface...