A5084510549- Advanced Sensor and Energy Harvesting Materials
- Tactile and Sensory Interactions
- Conducting polymers and applications
- Optical Wireless Communication Technologies
- Robot Manipulation and Learning
- Soft Robotics and Applications
- Power Line Communications and Noise
- Privacy-Preserving Technologies in Data
- Impact of Light on Environment and Health
- Modular Robots and Swarm Intelligence
- Interactive and Immersive Displays
- Reinforcement Learning in Robotics
- Energy Harvesting in Wireless Networks
- Advanced Graph Neural Networks
- Non-Invasive Vital Sign Monitoring
- PAPR reduction in OFDM
- Innovative Energy Harvesting Technologies
- Robotic Path Planning Algorithms
- IoT and Edge/Fog Computing
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
- Muscle activation and electromyography studies
- Teleoperation and Haptic Systems
- 3D Surveying and Cultural Heritage
- Robotics and Sensor-Based Localization
Tsinghua University
2013-2025
University Town of Shenzhen
2023-2025
Tsinghua–Berkeley Shenzhen Institute
2020-2024
Peng Cheng Laboratory
2023-2024
Beijing Center for Disease Prevention and Control
2024
Shanghai Artificial Intelligence Laboratory
2023-2024
National University of Singapore
2024
King's College London
2024
Beijing University of Posts and Telecommunications
2024
Beijing Academy of Artificial Intelligence
2023
Electronic textiles (e-textiles), having the capability of interacting with human body and surroundings, are changing our everyday life in fundamental meaningful ways. Yet, expansion field e-textiles is still limited by lack stable biocompatible power sources aesthetic designs. Here, we report a rechargeable solid-state Zn/MnO2 fiber battery cyclic performance exceeding 500 hours while maintaining 98.0% capacity after more than 1000 charging/recharging cycles. The mechanism high electrical...
Continuously and accurately monitoring pulse-wave signals is critical to prevent diagnose cardiovascular diseases. However, existing wearable pulse sensors are vulnerable motion artifacts due the lack of proper adhesion conformal interface with human skin during body movement. Here, a highly sensitive pressure sensor inspired by kirigami structure developed measure wave on different artery sites under various prestressing conditions even COMSOL multiphysical field coupling simulation...
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...
Abstract Natural wind energy harvesting enables a far‐reaching and sustainable solution to supply pervasive sensors in the Internet of Things (IoT). Electromagnetic generators (EMGs) struggle harvest from breezes, which causes regrettable wastage. Herein, triboelectric‐electromagnetic hybridized nanogenerator (TEHG) is designed with dual‐rotor structure consolidate band for high efficiency triboelectric nanogenerators (TENGs) breeze EMG speeds. The TEHG performs an efficient collection...
Abstract Abnormal vibration is a direct response to the mechanical defects of electrical equipment, and requires reliable sensing for health condition evaluation in associated system. The triboelectric nanogenerator (TENG) triggered by random generate energy/signal while giving feedback on state, paving promising way towards self‐powered sensors. Here, an all‐in‐one system configured with sensor demonstrates instantaneous discharge boosted TENG IR wireless communication state online...
A systematic theoretical analysis for contact-separation mode TENGs is presented, including models, methods, validation approaches, and extended applications.
Visible light communication (VLC) using the light-emitting diode (LED) will become an appealing alternative to radio frequency technology for indoor wireless broadband broadcasting. However, LED lamps should access backbone information network and this requirement is not easily satisfied. Power line (PLC) systems utilize ubiquitous power while serving as VLC naturally. In paper, we propose a novel cost-effective broadcasting system based on deep integration of PLC VLC. The proposed scheme...
As pioneering information technology, the Internet of Things (loT) targets at building an infrastructure embedded devices and networks connected objects, to offer omnipresent ecosystem interaction across billions smart devices, sensors, actuators. The deployment IoT calls for decentralized power supplies, self-powered wireless transmission technologies, which have brought both opportunities challenges existing solutions, especially when network scales up. Triboelectric Nanogenerators...
Federated learning (FL) has attracted tremendous attentions in recent years due to its privacy-preserving measures and great potential some distributed but privacy-sensitive applications, such as finance health. However, high communication overloads for transmitting high-dimensional networks extra security masks remain a bottleneck of FL. This article proposes communication-efficient FL framework with an Adaptive Quantized Gradient (AQG), which adaptively adjusts the quantization level based...
Multi-stimulus responsive soft materials with integrated functionalities are elementary blocks for building intelligent systems, but their rational design remains challenging. Here, we demonstrate an architecture sensitized by magnetized liquid metal droplets that dispersed in a highly stretchable elastomer network. The supercooled serve as microscopic latent heat reservoirs, and controllable solidification releases localized thermal energy/information flows enabling programmable...
The grasping of transparent objects is challenging but significance to robots. In this article, a visual–tactile fusion framework for object in complex backgrounds proposed, which synergizes the advantages vision and touch, greatly improves efficiency objects. First, we propose multiscene synthetic dataset named SimTrans12 K together with Gaussian-mask annotation method. Next, based on TaTa gripper, network object-grasping convolutional neural position detection, shows good performance both...
Federated recommendation systems employ federated learning techniques to safeguard user privacy by transmitting model parameters instead of raw data between devices and the central server. Nevertheless, current recommender system faces three significant challenges: (1) heterogeneity: heterogeneity users’ attributes local necessitates acquisition personalized models improve performance recommendation; (2) degradation: privacy-preserving protocol design in recommendation, such as pseudo item...
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...
Abstract Event‐driven sensors are essential for real‐time applications, yet the integration of current technologies faces limitations such as high cost, complex signal processing, and vulnerability to noise. This work introduces a bio‐inspired mechanoluminescence visuotactile sensor that enables standard frame‐based cameras perform event‐driven sensing by emitting light only under mechanical stress, effectively acting an event trigger. Drawing inspiration from biomechanics canine teeth,...
Current robotic systems can understand the categories and poses of objects well. But understanding physical properties like mass, friction, hardness, in wild, remains challenging. We propose a new method that reconstructs 3D using Gaussian splatting representation predicts various zero-shot manner. two techniques during reconstruction phase: geometry-aware regularization loss function to improve shape quality region-aware feature contrastive promote region affinity. Two other are designed...