I’m a young researcher with interests at the intersection of machine learning, robotics, and control theory. Currently, I’m exploring optimal control and reinforcement learning. As a final-year undergraduate, I’m open to pursuing a PhD with professors and research labs. My goal is to develop efficient control and learning algorithms to achieve better performance and faster learning than current SOTA methods.
- Lagos
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05:45
(UTC +01:00) - @iitiimii
- in/timi-owolabi
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Autonomous-Delivery-Drone
Autonomous-Delivery-Drone PublicAutonomous Delivery Drone (In Progress): Developing altitude and location control, auto takeoff and landing, obstacle avoidance, and reinforcement learning for advanced autonomous capabilities.
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Brute-Force-Optimization-for-Neural-Networks
Brute-Force-Optimization-for-Neural-Networks PublicExploring 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
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ROS2-AutonomousRobotCar
ROS2-AutonomousRobotCar PublicMobile Robot with Odometry and Control in ROS2: Features PID control, and Extended Kalman Filter for precise localization.
C++ 2
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Implementation-of-Neural-Net-in-Numpy
Implementation-of-Neural-Net-in-Numpy PublicA from-scratch implementation of a flexible neural network using only NumPy. Features customizable layers, activations, and optimizers.
Jupyter Notebook 1
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