A5005921992- Micro and Nano Robotics
- Modular Robots and Swarm Intelligence
- Distributed Control Multi-Agent Systems
- Energy, Environment, Agriculture Analysis
- Thermochemical Biomass Conversion Processes
- Lignin and Wood Chemistry
- Biofuel production and bioconversion
- Power Systems and Renewable Energy
- Microfluidic and Capillary Electrophoresis Applications
- Biosensors and Analytical Detection
- Underwater Vehicles and Communication Systems
- Advanced Materials and Mechanics
- Tropical and Extratropical Cyclones Research
- Coal and Its By-products
- Electrochemical sensors and biosensors
- Renal function and acid-base balance
- Advanced Nanomaterials in Catalysis
- Climate variability and models
- Microfluidic and Bio-sensing Technologies
- Surfactants and Colloidal Systems
- Molecular Communication and Nanonetworks
- Meteorological Phenomena and Simulations
- Ideological and Political Education
- MXene and MAX Phase Materials
- Fluoride Effects and Removal
Chinese University of Hong Kong, Shenzhen
2022-2024
Shenzhen Academy of Robotics
2023
Wenzhou Medical University
2023
Nanchang University
2016-2019
Guhua Hospital
2017
State Key Laboratory of Food Science and Technology
2016-2017
Shihezi University
2012
Academia Sinica
1987
Control and navigation of microrobotic swarms have drawn extensive attention recently. Avoiding dynamic obstacles using is one the major challenges that still remain unsolved. In this work, we develop a control strategy to navigate targeted positions while avoiding obstacles. We first propose criterion evaluate real-time locomotion efficiency during obstacle avoidance, i.e., swarm moving direction distance between target. Subsequently, hierarchical radar with three functional boundaries...
Magnetic field-driven microrobotic swarms have drawn extensive attention, especially in the field of automatic control. Realizing dynamic path planning and motion control for mobile target tracking is one important tasks that still remains unsolved. In this paper, we firstly present an enhanced bidirectional rapidly-exploring random tree star (EB-RRT*) algorithm considering physical size swarm to dynamically plan optimal obstacle avoidance. An image-guided controller, which consists a...
Sensing of key parameters in fluidic environments has attracted extensive attention because the physical features body fluids could be used for point-of-care disease diagnosis. Although various sensing methods have been investigated, effective strategies microenvironments remains a major challenge. In this paper, we propose an approach that can realize viscosity and ionic strength using microswarms formed by simple colloidal nanoparticles. The influences on two swarm behaviors are analyzed...
Hydrofluoric acid (HF), a dangerous inorganic acid, is widely used in various industries and daily life. Chemical burns caused by HF exposure occur more frequently some regions worldwide. It has been reported that cases with can be lethal due to the hypertoxicity of HF. In this article, we present case 24-year-old worker who suffered 53% solution his face, neck, nasal cavity. This patient quickly developed electrolyte disturbance, is, hypocalcemia, hypopotassemia, myocardial injury after...
Reconfigurable microrobotic swarms have drawn extensive attention recently. The combination of shape reconfiguration and path planning for collision avoidance is an important task that still remains unsolved. In this work, we firstly propose a method to realize the automatic transformation swarm between circular elliptical shapes. Subsequently, different methods are developed vortex-like swarm, respectively. A controller then proposed control aspect ratio swarm. motion integrated enable...