Popular GitHub Repositories for Pid

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

Reinforcement Learning for quadrotor trajectory planning and control

Motion Control of Self-Driving Car for Trajectory Tracking

Official repository of Artificial Neural Network-Based Adaptive PID Controller Design for Vertical Takeoff and Landing Model, which is presented in European Journal of Science and Technology.

Design real-time image processing, object recognition and PID control for Autonomous Drone.

AV Projects with the CARLA simulator

This repository contains the code for the paper "Image Generation for Efficient Neural Network Training in Autonomous Drone Racing" of the WCCI 2020 congress.

Open-source self-driving car based on DonkeyCar and programmable chassis

This study explores using RL for CSTR control, assessing effectiveness vs. traditional controllers (PID, MPC). RL learns optimal behavior to maximize rewards, outperforming NMPC with exploration and lower computational load.

This repository highlights the integration of neural network-based control with PID and MPC approaches in the AirSim simulator to enhance steering inputs for autonomous vehicles. Employing imitation learning and a hybrid neural network architecture, the project aims to create a robust and unbiased model for improved autonomous vehicle control.

Autonomous navigation system for a Crazyflie quadrotor in Webots simulator. Utilizes A* path planning algorithm and integrates real-time object recognition with YOLO.

Multi-objective application placement in fog computing using graph neural network-based reinforcement learning

A personal self-driving car project for the purpose of hands-on with OpenCV and deep learning.

Self Driven Vehicle using AI in Robotics ,i.e., Kalman filters, A* algorithm, PID control, localization, etc.The basic functionality of this car is just to chase and catch the running away car just like cops. For this, the car is such designed that is takes all the desired steps on its own in order to catch the running away car safely on a high traffic lane.

this repository is my Learning journey for Model Based Development .

? Advanced AI-powered aimbot with intelligent target detection, audio feedback system, and comprehensive parameter management. Built with Python, ONNX, and PyTorch.

Longitudinal and lateral controllers for autonomous vehicles. Features PID and enhanced Stanley controllers. Implementation is for CARLA simulator.

My master's degree project, titled Quadcopter Control with Deep Reinforcement Learning and PID Controllers in Simulated Environments

? A TensorFlow-Lite powered tracking rover.

Program a real Self-Driving Car by writing ROS nodes to implement core functionality of the autonomous vehicle system.