Navigating the Future: Spatial-Sense AGV for Enhanced Industrial Automation
Ayush Katare, Om Kasar, Jay Kankale, Milind Kamble
Line Follower Robot, Obstacle Detection, Mobile Robot.
In an age of automation, adaptable robotic systems are vital. This study crafts a Line Follower Robot with advanced obstacle detection to address this need. By enhancing obstacle avoidance, it surpasses traditional models, expanding practical utility. Incorporating obstacle detection ensures safe navigation through crowded spaces, enhancing versatility. This project aims to merge precise line following with intelligent obstacle detection, offering a holistic solution for diverse applications. This robot's ability to navigate complex courses and avoid obstacles dynamically marks a significant step forward in robotic development, enhancing its suitability for real-world deployment.
Article Details
Unique Paper ID: 164427

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 2546 - 2551
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews