This is a comprehensive project focused on developing advanced algorithms for autonomous driving, including adaptive cruise control, model predictive control (MPC), and robust scene understanding in various weather conditions.

This repository contains a sliding mode control option for path tracking in Autoware.Auto

This Java-based project aims to efficiently solve the robot pathfinding problem, calculating the path that a robot should take to minimize energy consumption while moving from the top-left corner to the bottom-right corner of a square grid of size n x n. The problem is solved using Dynamic Programming, specifically employing a bottom-up approach.

Implement some algorithms and methods for Mobile Robot using Python

Real-time footfall analysis in retail stores.

Robotic algorithms written in rust

Path tracking by a genetic algorithm. Adjustable settings to try to achieve better results.

Model Predictive Control (MPC) based waypoint tracking controller (ROS navigation stack local planner plugin)

Motion planning and control package for robot navigation. C++ optimized implementations for core algorithms along with Python wrappers.

Repository for setting default templates

Repository for the final project of Multimedia Systems course

MATLAB class intended to serve as the interface between path planning and path tracking.

Autonomous Robot Navigation Packages

Dubin's Vehicle Model in Gym Environment for Path Tracking using RL Algorithms

Using real-time RGB image for straight path tracking of mobile robots

MPC pathtracking implementation with python, solved by PANOC/IPOPT

Applied Artificial Intelligence project course at the Technical University of Berlin. Small scale autonomous driving. Covers basic perception and control algorithm.

The Vulnerability of GoAhead Service on VStarcam C34S-X4 that allows you to download system.ini configuration file and get login and password.

This is a series of the best pdfs for use with robots and can be applicable to vex robotics autonmoous routines.