Abstract :

The Advanced Autonomous System Is Designed To Pass Through The Complex Labyrinth Terrain Using Methods Of Capturing And Optimizing Routes. Maze Navigation, A Basic Problem In Robotics And Artificial Intelligence, Acts As A Criterion For Evaluating Built -in Autonomy And Decision -making Skills. The System Uses Control Architecture Based On Microcontroller Combined With Ultrasonic Sensors To Capture The Environment And Dynamically Create Navigation Routes. Algorithms Such As A*, Dijkstra And Heuristics Watching Walls Are Used To Increase The Route Planning For Various Structural Restrictions. The Environmental Input In Real Time Allows The System To Adapt To Developing Situations Such As Newly Added Obstacles Or Changed Paths, Thereby Improving Resistance And Generalization. The Hardware Setting Focuses On The Arduino Platform, Connected To The Motor Controls And The Distance Sensors, Allowing Control Of Low Power Supply In Real Time. Performance Parameters, Including Traverse Time, Route Efficiency And Accuracy In Avoiding Obstacles, Are Evaluated In Several Labyrinth Layouts. Applications Include Autonomous Transport, Intelligent Robots And Sectors For Searching And Rescue. This Research Confirms The Practicality Of Low -cost Robotic Agents Based On The Sensor In Performing Efficient Autonomous Navigation Within Limited Areas. “Index Terms -Autonomous Navigation, Embedded Systems, Arduino, Ultrasonic Sensors, A Algorithm, Obstacle Detection, Real-time Control, Path Planning”

Published:

07-7-2025

Issue:

Vol. 25 No. 7 (2025)

Page Nos:

64-72

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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