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  • Robotic biological cell microinjection for gene editing of zebrafish (PI: Prof. Qingsong XU)
    • Automated robotic micromanipulation systems are demanding devices for modern precision engineering applications in biomedical engineering, micro/nano manufacturing, etc. In this project, the development technology of robotic microinjector with microforce sensor has been proposed to invent novel force-sensing piezo-driven microinjector for reliable and effective microinjection of batch biological cells with high survival rate. Experimental results demonstrate that the invented robotic microinjection system provides a high and consistent quality for gene editing of zebrafish by eliminating the uncertainties induced by human operation.
  • Development of Robotic Intelligent Operation System Based on 3D Vision Sensing and Compliant Force Control (PI: Prof. Qingsong XU)
    • The research, manufacturing and application of robot are the important factors to measure the level of science and technology and high-end manufacturing of a country. This research aims to improve the robot’s 3D vision sensing and its compliance force control system. This robot has a large market prospect as it has higher flexibility and stronger intelligence. This project is going to build up the flexibility and develop the ability of controlling of the robot in order to finish more complex tasks such as welding, assembly and polishing. In addition, the research will build up robot’s 3D vision sensing which is considered as the core component of robot to adapt to the working environment of the factory. This research about robot intelligent application system enhance the robot’s ability in terms of hand-eye calibration, self-identification of tools, automatic generation of job planning and control instructions.
  • Research and application of multi-modal sensing and data-driven intelligent process planning technology for industrial robot (PI: Prof. Zhixin YANG)
  • Intelligent Diagnosis of Gastric Intestinal Metaplasia by using Gastroscope Images and Incremental Broad Learning (PI: Prof. Pak Kin WONG)
  • Adaptive Control of Vehicle Yaw Stability using Active Front Steering and Random Projection Neural Network (PI: Prof. Pak Kin WONG)
  • Investigations on Regulation Mechanism and Dynamic Temperature Compensation System of Valve Controlled Adjustable Hydraulic Shock Absorbers (PI: Prof. Pak Kin WONG)

  • Phase-transformation treatments stainless steels for combating cavitation erosion (PI: Prof. Kin Ho LO)
    • This project looks into the influences of the different phase transformation phenomena of stainless steels (e.g., sigma phase formation of duplex stainless steels) on their cavitation erosion (CE) behaviour. The CE behaviour of other metals (e.g., some high-entropy alloys) is also studied in this project for comparison purposes.
  • Effects of high-temperature exposure on the mechanical and corrosion properties of stainless steels (PI: Prof. Kin Ho LO)
    • The effects of thermal exposure on the mechanical and corrosion behaviour of different types of stainless steels are investigated in this project, with an emphasis on the post-fire implications of using stainless steels as construction materials. Characterisation foci include the tensile, fatigue, stress-corrosion cracking and creep behavior of different types of stainless steels. There is also the possibility of studying the effects of laser surface treatments on these mechanical aspects of stainless steels.
  • Application of finite element method on forming technologies (PI: Prof. Valentino CRISTINO)
    • This project aims for an independent analysis of physics behind the deformation and failure mechanisms of different forming processes, which allows to obtain a deeper understanding on the influence and interdependence of the main operating parameters. The results from phenomenological research namely the mechanical behavior, friction conditions, formability calibration will be used as input for process modeling using FEM analysis to design the forming process and select the major operating parameters to investigate. This project was also performed in collaboration with international partners like University of Seville (Escuela Técnica Superior de Ingeniería) of Spain, University of Lisbon (Instituto Superior Técnico) of Portugal and National Chiao Tung University of Taiwan.
  • Optimization of forming technologies with additive manufacturing technologies (PI: Prof. Valentino CRISTINO)
    • This project aims to explore the applicability of the Additive Manufacturing technologies in combination with manufacturing processes such as Forging, Deep Drawing, Single Point Incremental Forming, Friction Stir Welding, not only limited to the development of special tooling design and materials but also in the optimization of process parameters.