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General Information

Full Name Ziwen Lu
Languages Mandarin, English

Education

  • 2021-Now
    PhD Computer Science
    University College London
  • 2017-2018
    MSc Robotics and Computation
    University College London
  • 2015-2017
    BEng Electrical and Electronic Engineering
    University of Nottingham
  • 2013-2015
    BEng Electrical and Electronic Engineering
    University of Nottingham, Ningbo, China

Experience

  • 2019 - Now
    Postgraduate Teaching Assistant
    University College London
    • Robot Vision and Navigation (COMP0130) for sensor fusion and SLAM.
    • Virtual Environments (COMP0113, from 2021) collaborative VR experience design and development under Unity with Ubiq.
    • Systems Engineering (COMP0016) (2022-2023)
    • Machine Vision Engineering (COMP0137) (2023-2024)
    • Extensively involved in the supervision of master student projects in MSc Robotics and Computation. The areas include sparse SLAM with prior maps, robot planning, and structure from motion.

Experience

  • 2019 - 2021
    Research Assistant
    University College London
    • Integration and experimentation of Robotnik VOGUI platform with Optitrack system for autonomous pick and place with UR-10e robotic arm on the mobile platform.
    • Design, implementation and validation of kinematics, low-level con-troller a custom-built tricycle autonomous guided vehicle in simulation and with a physical 1:1 prototype. Integration with ROS navigation stack for obstacle avoidance and path planning with optical tracking system reaching ±1cm precision for docking task
    • Design and implementation of automated testing/calibration tool-chain for robot path-planning and control with OptiTrack system. ROS integration of FARO scanner API for autonomous mapping with terrestrial laser scanning on a robotic mobile platform
  • 2018 - 2019
    Robotics Engineer
    Mo-sys Engineering Ltd
    • The investigation, simulation, validation and construction of a differential AGV prototype(motor selection, amplifier integration, kinematics, URDF).
    • ROS driver development for the AGV prototype and the optical tracker; Investigation and validation of a low-cost Optical-Inertial system for visual Tracking;