Project Overview

DJI Robomaster Maze Coding: A robotics coding project, creating a robotic maze-solving algorithm for OneArena 2024, a Sinagapore National Competition for secondary school student using the DJI Robomaster app with DSP-based code and custom hardware elements to cultivate their robotic automation mindset.

Objective

This project involves developing a robotic maze-solving algorithm using the DJI Robomaster App for OneArena 2024. The goal is to program a robot to efficiently navigate through a maze, showcasing skills in robotics and control systems. All code is implemented in DSP (Digital Signal Processing) form for optimal performance.

Key Features

• Maze Design and Simulation:

  • A virtual maze environment is set up for testing algorithms.
  • Simulations ensure the robot can navigate varied maze layouts.

• Algorithm Development:

  • Custom DSP-based algorithms are written to process sensory data and make navigation decisions in real time.
  • Features include pathfinding, obstacle avoidance, and error correction mechanisms.

• Real-Time Execution:

  • Integration with the DJI Robomaster App to run the maze-solving algorithm on physical robots.
  • Ensures smooth and efficient robot movement through sensor data interpretation and motor control.

• Automated Arduino-Driven Door:

  • Created a sliding door system using 2 DC motors and wheels repurposed from toy cars.
  • The Arduino-based system automates door operations, adding an interactive element to the maze.

• Maze Features:

  • Difficulty Levels: Easy and hard routes provided for varied challenges.
  • Maze Components:
    • Circular paths, pacing zones, narrow turns, and disturbances.
    • Visual markers and lateral movement tasks for added complexity.

Technical Highlights

• DSP-Based Code:

  • Code optimized for real-time signal processing, ensuring fast and accurate navigation.

• Robotics Components:

  • Uses onboard sensors for obstacle detection and mapping.
  • Combines PID control for smooth movement and A* algorithm for optimal pathfinding.

• Technologies Used:

  • DJI Robomaster App for development and deployment.
  • Arduino for automated door mechanics.
  • Python for algorithm prototyping and testing.

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