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Charlychee/README.md

Hi there 👋

My name is Charles Chi Lee and I am studying Electrical Engineering with a depth in Intelligent Systems, Robotics, and Control at UC San Diego.

  • 😄 Pronouns: he/him/his

  • 🔭 I’m currently working on ...

    • an autonomous robot that navigates through a racetrack
  • 🌱 I’m currently learning ...

    • robotics theory in sensing, estimation, planning, learning, and controls.
  • ⚡ Fun fact: My hobbies include making music, swing dancing, playing video games, and playing badminton.

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  1. Basketball-Trajectory-Prediction Basketball-Trajectory-Prediction Public

    A transformer encoder-decoder model to predict basketball trajectory given an input sequence of player and ball position data

    Jupyter Notebook

  2. Visual-Inertial-SLAM Visual-Inertial-SLAM Public

    Utilizes the Extended Kalman Filter (EKF) with stereo camera and IMU data to estimate the 3D pose of an agent and the 3D position of landmarks.

    1

  3. LiDAR-Particle-Filter-SLAM LiDAR-Particle-Filter-SLAM Public

    Utilizes the Particle Filter with LiDAR and IMU data to estimate the 2D pose of an agent and create a 2D occupancy grid map.

  4. Motion-Planning-A-Star-RRT Motion-Planning-A-Star-RRT Public

    Utilizes weighted A* and RRT to have our agent compute a minimal cost path from a specified start point to a specified goal point

  5. Model-Predictive-Control-and-Infinite-Horizon-Stochastic-Optimal-Control Model-Predictive-Control-and-Infinite-Horizon-Stochastic-Optimal-Control Public

    Utilizes Model Predictive Control (MPC) and Generalized Policy Iteration (GPI) to compute a control policy for an agent to follow a reference trajectory.

    2

  6. Finite-Time-Optimal-Control Finite-Time-Optimal-Control Public

    Utilizes Dynamic Programming to solve the Finite-Time Optimal Control problem to provide an optimal control policy for an agent to navigate its way through an environment to reach the goal point.