Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM35270
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project presents a sophisticated maze-solving robot, equipped with advanced live monitoring capabilities, meticulously designed to autonomously navigate and solve intricate maze environments.The robot’s navigation prowess is underpinned by an array of sensors, prominently featuring ultrasonic and infrared technologies, which are adept at detecting and avoiding obstacles while simultaneously mapping the layout of the maze. These sensors feed data into an embedded microcontroller, which processes the information in real-time. To determine the optimal path to the maze’s exit, the microcontroller employs sophisticated algorithms such as Depth-First Search (DFS) or Breadth-First Search (BFS), renowned for their efficiency in solving complex mazes.A key feature of the robot is its live monitoring capability, enabled by a wireless communication module. This module is responsible for transmitting critical data, including the robot’s status, position, and sensory inputs, to a remote monitoring station. The real-time feedback provided through this system allows users to observe the robot’s progress dynamically and make necessary adjustments on the fly, ensuring optimal performance and adaptability in diverse environments. The robot’s compact chassis design ensures superior maneuverability, even in the most confined spaces, while a robust power management system guarantees extended operational periods, making the robot both efficient and reliable.The integration of live monitoring capabilities not only significantly enhances the robot’s functionality but also offers invaluable insights into its performance and decision-making processes. This feature is particularly advantageous for educational purposes, providing students and researchers with a tangible demonstration of theoretical concepts in robotics and automation. Additionally, the real-time data acquisition and analysis capabilities make the robot a potent tool for research, especially in fields requiring precise navigation and obstacle avoidance, such as search and rescue operations. Here, the ability to receive immediate feedback and monitor the robot’s actions in real-time is crucial, as it can directly influence the success of missions in dynamic and potentially hazardous environments.The development of this maze-solving robot represents a significant leap forward in the realms of robotics, automation, and remote monitoring technologies. By addressing real-world challenges with enhanced efficiency, this project underscores the potential of advanced robotics to transform a variety of applications. The robot’s design, characterized by a harmonious blend of sophisticated sensor arrays, intelligent pathfinding algorithms, and robust real-time monitoring systems, exemplifies the cutting-edge advancements in technology. This convergence of features not only demonstrates the practical applications of theoretical research but also paves the way for future innovations in autonomous systems, highlighting their capability to operate effectively in real-world scenarios and to provide critical insights that can drive further technological progress.
KEYWORDS
Publication Date
2/5/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...