#Underwater-robotics

AlinaBaber

ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLab

This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV). The implementation aims to enhance precision, adaptability, and robustness in underwater environments.

uf-robopi

UDepth

Fast Monocular Depth Estimation of Underwater Scenes (ICRA 2023)

gautamtata

DeepPlastic

Detecting and Quantifying Marine Debris using Deep Visual Models.

AlinaBaber

NeuralNetwork-Fuzzy-logic-based-self-tuned-PID-controller-for-Autonomous-underwater-vehicle-MatLab

This project implements an advanced control system using a Neural Network-Fuzzy Logic-based Self-tuned PID Controller to optimize the performance and stability of an Autonomous Underwater Vehicle (AUV).