sudharsan10 / maze-solver-robot

This is a program to drive a robot through a maze using Depth First Search as it's path-planning algorithm. The program is interfaced with Micromouse simulator for visualizing the maze and the robot in real-time.The concepts of object-oriented programming, inheritance, and dynamic polymorphism were used to develop this project.

• 👋 Hi, I’m Sudharsan
• 👀 I’m interested in Robotics Engineering
• 🌱 I’m currently learning PCB design, Product development and Electronics
• 💞️ I’m looking to collaborate on anything Robotics related.
• 📫 How to reach me [email protected]

maze-solver-robot's Issues

Implementing Maze Solving Algorithms on Real Robots with Single-Chip Computers (e.g., Raspberry Pi, BeagleBone)

Dear Repo Admin,

Firstly, I'd like to express my appreciation for the efforts put into developing the maze-solving interface within this repository. It's undoubtedly a valuable tool for exploring various algorithms in a virtual environment. However, I believe it would be beneficial to discuss the feasibility and implementation details of deploying these algorithms on real-world robotic systems, specifically those utilizing single-chip computers such as the Raspberry Pi or Beagle Bone.

Real robots often face unique challenges and constraints that may not be fully represented in a simulated environment. Therefore, it's crucial to consider the practical aspects of deploying maze-solving algorithms onto hardware platforms commonly used in robotics projects.

In this issue, I propose we explore the following topics:

Hardware Compatibility: Discuss the suitability of single-chip computers like the Raspberry Pi or Beagle Bone for running maze-solving algorithms in real-time.
Interface Adaptation: Address any necessary modifications or optimizations required to interface the existing algorithms with sensors, actuators, and other peripherals commonly found in robotic systems.
Performance Considerations: Analyze the computational requirements of the algorithms and assess their feasibility within the processing constraints of single-chip computers.
Integration Challenges: Identify potential hurdles in integrating the maze-solving algorithms with the overall robotic system architecture, including communication protocols, power management, and hardware interfacing.
Practical Examples: Share insights, best practices, and real-world examples of maze-solving implementations on single-chip computers in robotics projects.
By delving into these aspects, we can not only enhance the applicability of the maze-solving algorithms developed within this repository but also provide valuable guidance for enthusiasts and developers looking to deploy similar solutions in real robotic applications.

I welcome input and collaboration from fellow contributors, researchers, and robotics enthusiasts to explore this exciting avenue further.

Thank you for considering this proposal, and I look forward to engaging in fruitful discussions on this topic.

Best regards,
Rangala Mahesh