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💯
On a research spree
💯
On a research spree
29 followers · 30 following

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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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iitimii/README.md

Hi, I'm Timi! 👋

Typing SVG

About Me

I love learning, and building cool stuff. My work lies at the intersection of machine learning, robotics, and control theory, focusing on developing robots that learn, adapt, and intelligently interact with humans, other robots, and their environment.

Currently, I’m exploring reinforcement learning with a focus on its applications in robotics control. I’ve had the privilege of assisting researchers, which has deepened my drive to pursue a PhD. My ultimate goal is to lead groundbreaking robotics projects that enhance global living standards through cutting-edge research and development.

Tech Stack

Python ROS TensorFlow PyTorch C++ MATLAB

GitHub Stats

GitHub Stats GitHub Streak

Connect with Me

LinkedIn Resume

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  1. Autonomous-Delivery-Drone Autonomous-Delivery-Drone Public

    Autonomous Delivery Drone (In Progress): Developing altitude and location control, auto takeoff and landing, obstacle avoidance, and reinforcement learning for advanced autonomous capabilities.

    C++ 2 1

  2. Gradient-Based-Reinforcement-Learning-Exploration Gradient-Based-Reinforcement-Learning-Exploration Public

    Experimental exploration of gradient-based methods in RL. Features a simple naive algorithm derivation, REINFORCE implementation, in the CartPole environment. Bridges supervised and reinforcement l…

    Jupyter Notebook 1

  3. ROS2-AutonomousRobotCar ROS2-AutonomousRobotCar Public

    Mobile Robot with Odometry and Control in ROS2: Features PID control, and Extended Kalman Filter for precise localization.

    C++ 2

  4. Neural-Networks-Learning-Without-Gradient-Descent Neural-Networks-Learning-Without-Gradient-Descent Public

    Exploring non-gradient-based learning techniques for training neural networks, using brute force parameter search and optimization methods. Includes comparison with gradient-based learning.

    Jupyter Notebook 2

  5. Implementation-of-Neural-Net-in-Numpy Implementation-of-Neural-Net-in-Numpy Public

    A from-scratch implementation of a flexible neural network using only NumPy. Features customizable layers, activations, and optimizers.

    Jupyter Notebook 1

  6. PARC2024-Engineers-League-Team-Horizon PARC2024-Engineers-League-Team-Horizon Public

    Forked from PARC-Robotics/PARC2024-Engineers-League

    Solutions for the Pan African Robotics Competition: autonomous navigation and crop yield counting using machine learning, with ROS2 integration for object tracking.

    Python 1