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gustavokpc/README.md

Gustavo Kuratomi

Electrical Engineering student at the University of São Paulo (Poli-USP), currently pursuing a double degree in Robotics at ENSTA Paris.

My main interests are robotics, autonomous systems, and control, particularly the application of machine learning and reinforcement learning to robotic systems.

I previously worked on learning-based quadrotor control at ONERA and ISAE-SUPAERO, combining neural networks, simulation, and experiments on real drones.

I also conducted research at the University of São Paulo, developing and evaluating a Retrieval-Augmented Generation (RAG) system for question-answering over institutional regulations. This work resulted in a publication at ENIAC 2024.

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  1. RetrievalAugmentedGeneration RetrievalAugmentedGeneration Public

    RAG-based question-answering system for university regulations, integrating information retrieval, language models, and a Streamlit interface.

    Python 2

  2. LNN_behavioural_cloning_quadrotor LNN_behavioural_cloning_quadrotor Public

    Learning-based quadrotor control using liquid neural networks, behavioral cloning, and closed-loop simulation.

    Python 1

  3. RL_DroneControl RL_DroneControl Public

    Reinforcement learning for autonomous quadrotor gate navigation, using PPO, recurrent policies, and physics-based simulation.

    C

  4. mobile-robot-slam-navigation mobile-robot-slam-navigation Public

    Forked from emmanuel-battesti/ensta-rob201

    Autonomous mobile robot navigation using LiDAR-based SLAM, occupancy grid mapping, A* planning, and obstacle avoidance.

    Jupyter Notebook

  5. ur5-ros2-manipulation ur5-ros2-manipulation Public

    UR5 robotic manipulation using MATLAB, ROS 2, inverse kinematics, and external perception inputs.

    MATLAB

  6. robot-manipulator-modeling-control robot-manipulator-modeling-control Public

    Robotic manipulator kinematics, trajectory generation, and feedback control using MATLAB and Simulink.

    MATLAB