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Tong Lu is a seasoned researcher and engineer with expertise in medical robotics, automation, and control systems. He holds a Master's degree in Medical Robotics and Image Guided Intervention from Imperial College London and a Bachelor of Engineering in Mechanical Engineering from the University of Liverpool. Tong has worked as a Graduate Research Assistant at the Hamlyn Centre for Robotic Surgery and an Undergraduate Research Assistant at Xi'an Jiaotong-Liverpool University.

Experience

    • United Kingdom
    • Higher Education
    • 1 - 100 Employee
    • Graduate Research Assistant
      • Sep 2023 - Nov 2023

      Do sim-to-real experiments and collect human demonstrations for publication.

    • Postgraduate Researcher
      • Jan 2023 - Oct 2023

      Individual research project in the Hamlyn Centre: Sim-to-real automatic tool grasping in robotic-assisted radio-guidance surgery•Automated gamma probe grasping task using da Vinci Robot System's Patient Side Manipulators (PSM).•Created a ROS-based simulation environment with the Asynchronous Multi-Body Framework (AMBF) on Linux.•Acquired observational data via Geomagic Touch for model training through imitation learning (IL).•Leveraged deep learning techniques, including ResNet, for image feature extraction and representation.•Designed, implemented, and tested the AMBF-IL Toolkit for use in both simulation and the da Vinci Robot System.

    • Undergraduate Research Assistant
      • Jun 2021 - Sep 2021
      • Suzhou, Jiangsu, China

      •Proposed a control strategy combining Pulse Width Modulation (PWM) and phase-shifting for minimizing inductance current and achieving Zero Voltage Switching (ZVS) under light load.•Built and tested a DAB model under short-circuit fault using MATLAB Simulink.•Evaluated a method using series inductance for short-circuit fault ride-through in a double active bridge system, simulated with MATLAB Simulink.•Completed PWM signal generation and dead zone settings using DSP28335.

    • Undergraduate Research Assistant
      • Jun 2019 - Sep 2019
      • Suzhou, Jiangsu, China

      •Assisted in reformulating the single diode model of photovoltaic cells (PV) using the Lambert W function.•Developed and validated a MATLAB Simulink model using actual photovoltaic panels.•Derived a simplified formula for calculating the maximum power point (MPP) of a photovoltaic string at different irradiance levels without the need for detailed modeling.•Conducted simulations of PV cells connected in series and analyzed their I-V and P-V characteristics.

Education

  • 2022 - 2023
    Imperial College London
    Master's degree, MRes in Medical Robotics and Image Guided Intervention
  • 2018 - 2022
    University of Liverpool
    Bachelor of Engineering - BE, Mechanical Engineering/Mechanical Technology/Technician
  • 2018 - 2022
    西交利物浦大学
    Bachelor of Engineering - BE, Mechatronics and Robotic Systems
  • 2015 - 2018
    Haian Senior School of Jiangsu Province
    Middle School Diploma, Engineering Science
  • 2016 - 2016
    Gustav-von-Schmoller-Schule Heilbronn
    Middle School Diploma, Exchange student

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Industry Focus. “Higher Education”

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