Chang Liu

ORCID: 0000-0002-3037-6549
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Research Areas
  • Advanced Sensor and Energy Harvesting Materials
  • Tactile and Sensory Interactions
  • Conducting polymers and applications
  • Muscle activation and electromyography studies
  • Gas Sensing Nanomaterials and Sensors
  • Neuroscience and Neural Engineering
  • Advanced MEMS and NEMS Technologies
  • Innovative Energy Harvesting Technologies
  • Advanced Sensor Technologies Research
  • Adhesion, Friction, and Surface Interactions
  • Natural Language Processing Techniques
  • Hydrological Forecasting Using AI
  • Advanced Chemical Sensor Technologies
  • Soft Robotics and Applications
  • Hydrology and Watershed Management Studies
  • Sensor Technology and Measurement Systems
  • Topic Modeling
  • Analytical Chemistry and Sensors
  • EEG and Brain-Computer Interfaces
  • Robotic Mechanisms and Dynamics
  • Dielectric materials and actuators
  • Gyrotron and Vacuum Electronics Research
  • Prosthetics and Rehabilitation Robotics
  • Hydraulic and Pneumatic Systems
  • Dynamics and Control of Mechanical Systems

Sun Yat-sen University
2023-2024

Aerospace Information Research Institute
2024

Chinese Academy of Sciences
2018-2024

Sichuan University
2024

Taiyuan University of Technology
2024

Dalian Maritime University
2021-2023

University of Notre Dame
2022

Changchun University of Science and Technology
2022

Suzhou Institute of Biomedical Engineering and Technology
2022

Northwestern University
2011-2021

Abstract This paper proposes a highly integrated triboelectric‐electromagnetic wave energy harvester (TEWEH) that can efficiently collect wide‐frequency and realize self‐powered marine buoy. The innovative design of permanent magnet‐polytetrafluoroethylene (PM‐PTFE) ball ensures high integration between the magnetic material forming electromagnetic generator (EMG) dielectric triboelectric nanogenerator (TENG). In condition swinging (1 Hz ±30°), output TENG component reach 230.25 V, 1.34 µA,...

10.1002/aenm.202301665 article EN Advanced Energy Materials 2023-08-10

Abstract The development of strain sensors with high stretchability and stability is an inevitable requirement for achieving full‐range long‐term use wearable electronic devices. Herein, a resistive micromesh reinforced sensor (MRSS) prepared, consisting laser‐scribed graphene (LSG) layer two styrene‐block‐poly(ethylene‐ran‐butylene)‐block‐poly‐styrene layers embedded in Ecoflex. structure endows the MRSS combined characteristics (120%), excellent (with repetition error 0.8% after 11 000...

10.1002/inf2.12511 article EN cc-by InfoMat 2024-03-04

10.1016/s0924-4247(00)00559-8 article EN Sensors and Actuators A Physical 2001-04-01

This work presents results towards realizing a flexible multimodal tactile sensing system for object identification. Using polymer substrates and simple fabrication, robust devices are made that can identify objects based on texture, temperature, as well material properties such hardness thermal conductivity. These capabilities possible using signal processing techniques physical models along with individual structures inspired by the specialization found in biological skin. used to sense...

10.1109/icsens.2007.355530 article EN 2006-10-01

Wearable devices based on surface electromyography (sEMG) to detect muscle activity can be used assess strength with the development of hand rehabilitation applications. However, conventional acquisition are usually complicated operate and poorly comfortable for more medical scientific application scenarios. Here, we report a flexible sEMG system that combines graphene-based electrode signal printed circuit (FPC) board. Our utilizes polydimethylsiloxane (PDMS) substrate combined graphene...

10.3390/mi13122047 article EN cc-by Micromachines 2022-11-22

The human-machine interface plays an important role in the diversified interactions between humans and machines, especially by swaping information exchange human machine operations. Considering high wearable compatibility self-powered capability, triboelectric-based interfaces have attracted increasing attention. Herein, this work developed a minimalist stable interacting patch with function of sensing robot controlling based on triboelectric nanogenerator. This robust is composed several...

10.3390/ma14216366 article EN Materials 2021-10-24

We report a tactile sensor for characterizing the hardness of biological tissues, targeting applications in field minimally invasive robotic surgeries. The employs tandem spring design which key parameters are proposed analytically and confirmed experimentally. sensors realized using direct silicon-to-PCB fabrication/packaging scheme. experimentally demonstrated that sensitivity exhibits scaling factor dependent on contact conditions, proving precise control angle force is important....

10.1109/jsen.2013.2271736 article EN IEEE Sensors Journal 2013-07-03

We report a hardness sensor for non-intrusive characterization of tissue in robotic surgical systems. The MEMS-based we developed is able to measure within range 0.3 - 360psi based on normal contact, realizing excellent ability distinguish certain biological samples. To our knowledge, such wide dynamic and capability bio-tissue recognition have not been experimentally demonstrated the past. `tandem spring' design implemented using novel direct silicon-PCB packaging scheme recently by group....

10.1109/transducers.2011.5969397 article EN 2011-06-01

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10.2139/ssrn.4760515 preprint EN 2024-01-01

10.1109/icsidp62679.2024.10868026 article EN 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) 2024-11-22

We report the development of a novel soft body touch sensor capable measuring contact force along its length. The can be embedded in objects and on curved surfaces for smart furniture, interactive electronics, general robotics applications. uses pneumatic transduction principle achieves both high sensitivity impact loading tolerance. is motivated by needs consumer electronics industries furniture toys. current work fills gap existing soft-bodied sensors. main completely polymeric contains no...

10.1109/access.2021.3112391 article EN cc-by IEEE Access 2021-01-01

As we all know, the output of tactile sensing array on gripper can be used to predict grasping stability. Some methods utilize traditional features make decision and some advanced use machine learning or deep ways build a prediction model. While these are limited specific have two common disadvantages. On one hand, models cannot perform well different sensors. other they do not ability inferencing multiple sensors in an end-to-end manner. Thus, aim find internal relationships among inference...

10.3390/app10061997 article EN cc-by Applied Sciences 2020-03-14

This paper reports on preliminary experimental results of recently proposed mechanism kinematics for a legged robot. The creates mapping from series-elastic actuator to foot motion that includes pair singularities within fully rotatable kinematic circuit. Such circuit is less common and only possible with certain multi-loop linkages. A slice the configuration space displaying rotation versus linear presents characteristic "S" shape, motivating name S-curve kinematics. Our show can enhance...

10.1109/icra46639.2022.9811546 article EN 2022 International Conference on Robotics and Automation (ICRA) 2022-05-23
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