Graduation Project · 2023 – 2024

JetBot ROS AI

Analysis of a two-wheeled robotic platform with autonomous movement and practical demonstrations.

Python ROS Jetson Nano Autonomous Robotics Linux

Overview

The graduation project focused on assembling the hardware and developing software for an autonomous two-wheeled robotic platform — the JetBot ROS AI Kit. The platform runs on NVIDIA Jetson Nano with the Robot Operating System (ROS), enabling real-time sensor processing, motor control, and autonomous navigation.

What I did

Assembled the full JetBot hardware including motors, camera module, and power system
Set up and configured ROS on the Jetson Nano running Linux
Developed Python-based nodes for autonomous movement and obstacle avoidance
Implemented camera-based lane following using OpenCV
Analysed platform performance and documented findings in the graduation thesis
Presented practical demonstrations at school graduation defence

Tech Stack

Python ROS / ROS2 OpenCV NVIDIA Jetson Nano Linux (Ubuntu) Jupyter Notebook DC Motor Control Camera Module

Outcome

Successfully completed as a graduation project at SŠ Edvarda Beneše Břeclav. The platform demonstrated reliable autonomous lane-following and obstacle avoidance, with the full analysis documented in the thesis "Analýza dvoukolové robotické platformy JetBot s praktickými ukázkami".

Graduation Project — Passed with distinction