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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM49398

Robonav:Smart Mobile Controlled Autonomous Robot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM49398

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem49398

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.

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YJ

Y. Jeevan

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Abstract

The advancement of robotics and automation has led to the development of intelligent autonomous systems capable of performing complex tasks with minimal human intervention. RoboNav is a smart, mobile-controlled autonomous robot designed for versatile applications, including surveillance, logistics, and assistance in industrial and domestic environments. By leveraging IoT connectivity, AI-driven navigation, and real-time remote control, RoboNav ensures efficient and precise movement in dynamic environments. Equipped with sensors such as LiDAR, ultrasonic, and computer vision cameras, RoboNav can detect obstacles, map surroundings, and navigate autonomously while adapting to changing conditions. Users can control the robot remotely via a mobile application, enabling real-time monitoring and command execution. Machine learning algorithms        enhance RoboNav’s        decision-making capabilities, allowing it to optimize routes, recognize objects, and interact intelligently with its environment. By combining autonomy with remote accessibility, RoboNav enhances efficiency, reduces operational risks, and expands the possibilities for smart robotic applications. Its integration into various sectors contributes to automation, safety, and productivity, making it a valuable asset in modern technological ecosystems.

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Cite This Article

Y. Jeevan, "Robonav:Smart Mobile Controlled Autonomous Robot," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem49398

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Publication Date

6/2/2025

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Double-Blind Peer Review

Review Rounds: 2

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