Project of a micromouse type mobile robot based on STM32 and designed PCB. Master's thesis.
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Updated
May 29, 2025 - C++
Project of a micromouse type mobile robot based on STM32 and designed PCB. Master's thesis.
Older Code for UKMARSBOT running in a classic micromouse maze - now deprecated
Arduino nano based micro-mouse
A simple and complete micromouse using the Arduino Leonardo-based MMKIT from Globaltronics
A maze solver library for micromouse
This repo is home to the device code for the Durham University Micromouse Project
Meshmerize MicroMouse Project
Embedded control system on STM32 for an autonomous robot that solves mazes using the flood fill algorithm.
This project implements a Micromouse-style autonomous robot using VHDL on an FPGA. It features real-time wall detection, flood-fill pathfinding, and precise motor control, all optimized for hardware.
A simulation of the yearly micro-mouse competition
This repository provides MATLAB simulations for solving the MicroMouse competition using various algorithms including BFS, DFS, and A*. Explore implementations designed to navigate mazes efficiently, aiming to optimize pathfinding strategies and evaluate their performance in simulated competition environments.
STM32 Nucleo-G070RB based Micro Mouse that runs on Wall Follower algorithm
MicroMouse Game (PathFinding Game)
Micromouse maze solver
A simulation software that simulates a grid world to show the operation of maze solving using the Flood Fill algorithm
This repo includes academic curriculum related projects.
This is a simulation for test the Micromouse maze solving algorithms. Using this simulation user can upload any maze and test the maze algorithm.
Furtherance of the Tremaux algorithm--shortest path algorithm-- by employing a potential value algorithm for improving search in a micromouse.
A Python-powered MicroMouse robot designed to autonomously navigate mazes using real-time sensor data and algorithms like wall-following, flood-fill, and dead-end filling. Features live mapping, path optimization, and serial communication with the robot’s hardware platform. Built for speed, adaptability, and efficient maze-solving.
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