Angela Liu

Research Assistant at UCSD Advanced Robotics and Controls Lab
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Contact Information
us****@****om
(386) 825-5501
Location
Los Angeles Metropolitan Area, US
Languages
  • Mandarin Limited working proficiency

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Experience

    • United States
    • Research Services
    • 1 - 100 Employee
    • Research Assistant
      • Oct 2019 - Present

      + Implemented an SVM model with Radial Basis Function (RBF) to classify different types of commonly used robot muscle actuators + Created a Dash open source website aimed to guide users in determining configurations, design specifications, and actuator types for building muscle-powered biomimetic robotics + Implemented an SVM model with Radial Basis Function (RBF) to classify different types of commonly used robot muscle actuators + Created a Dash open source website aimed to guide users in determining configurations, design specifications, and actuator types for building muscle-powered biomimetic robotics

    • Australia
    • Software Development
    • 700 & Above Employee
    • Site Reliability Engineer Intern
      • Jun 2021 - Sep 2021

    • United States
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Software Engineer Intern
      • Jun 2020 - Aug 2020

      Worked on designing a website frontend in Angular for an onboarding application that generates a JSON code template for sending email, push, and SMS notifications to Ford vehicle owners and application users Worked on designing a website frontend in Angular for an onboarding application that generates a JSON code template for sending email, push, and SMS notifications to Ford vehicle owners and application users

    • Hong Kong
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Jun 2019 - Aug 2019

      Conducted research about confidence measurement in multi-agent reinforcement learning by testing new methods of measuring confidence amongst simultaneous learning agents using TD methods and Q-learning Conducted research about confidence measurement in multi-agent reinforcement learning by testing new methods of measuring confidence amongst simultaneous learning agents using TD methods and Q-learning

Education

  • University of California San Diego
    Bachelor of Science - BS, Electrical Engineering
    2018 - 2022

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