What This Document Is
This document is a research paper detailing the development of a shortest path finder robot utilizing an Arduino Uno microcontroller. It outlines a project focused on autonomous navigation, specifically employing Dijkstra’s algorithm for path planning. The paper details the hardware and software components used to build a robot capable of identifying and traversing the most efficient route between two points, while also avoiding obstacles.
Why This Document Matters
This research is valuable for students and hobbyists in robotics, computer science, and electrical engineering. It’s particularly relevant within the context of a Computer Systems course (CISB 11) at Mt. San Antonio College, offering a practical application of algorithmic thinking and microcontroller programming. Professionals in fields like warehouse automation, logistics, and automated guided vehicle systems may also find the concepts presented useful. The project demonstrates a low-cost approach to autonomous navigation, making it accessible for educational and experimental purposes.
Common Limitations or Challenges
This paper focuses on a specific implementation using IR sensors and Dijkstra’s algorithm. It doesn’t cover alternative sensing technologies (like LiDAR or cameras) or more advanced path planning algorithms (like A* search). The environment is assumed to be relatively simple, and the robot’s performance in complex, dynamic environments isn’t addressed. The research is a proof-of-concept and doesn’t detail large-scale deployment or industrial considerations.
What This Document Provides
The full document provides:
* A detailed explanation of Dijkstra’s algorithm and its implementation in C++ for the Arduino Uno.
* A comprehensive list of hardware components (Arduino Uno, IR sensors, DC motors, motor driver, chassis, battery, jumper wires, wheels) and their selection rationale.
* A description of the robot’s hardware structure and how the components are interconnected.
* Discussion of potential improvements and future research directions, such as incorporating additional sensors and optimizing path planning.
* Keywords for searchability: Arduino Controller, IR Sensors, Robot, DC Motor.
This preview does *not* include the complete C++ code, detailed circuit diagrams, or experimental results presented in the full paper. It also does not provide step-by-step instructions for building the robot.
