GSoC 2025 - JdeRobot Python Challenge: Brownian Motion

Overview

This project implements a Brownian Motion simulation for a robot as part of the GSoC 2025 application for JdeRobot. The robot moves in a square arena, starting from the center, and rotates randomly upon collision with boundaries, mimicking Brownian motion behavior.

Implementation Details

• Language: Python 3
• Libraries:
  • Python Standard Library
  • NumPy (for calculations)
  • Matplotlib (for visualization)
• Structure: Implemented as a Python module (brownian_motion.py)
• Features:
  • Robot starts at the center of a square arena
  • Moves straight until hitting a boundary
  • Rotates randomly on collision
  • Tracks path, speed, and collision statistics
  • Visualized with styled boundaries and real-time stats

How to Run

1. Install dependencies:

   pip install numpy matplotlib

2. Run the simulation:

   python main.py

3. Output: Generates brownian_motion_styled.gif

Results

The simulation produces a GIF showing the robot's Brownian motion:

Author

Mohamed ABABSA - GSoC 2025 Applicant