Artificial Intelligence (AI)-Powered Line Follower Robot with Hurdle Detection and Voice Control

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Rana Qamar Hayat
Fida Hussain
Umer Masood
Abstract: In this paper, we propose a voice controlled line following robot with the ability to trace the set path and avoid hurdles while moving autonomously. Line-following robots have been around for decades, but this setup uses AI algorithms and fresnel lenses to improve accuracy More Traditional line-following robots often face drawbacks in dealing with intricate environments, but those are addressed here via user control over voice recognition, as-well-as obstacle detection through ultrasonic sensors. The robot is controlled over an Arduino UNO microcontroller and the (advance) features that it offers allows the robot to operate independently with lesser human interactions, the applications of such a robot will span across Transportation & logistics, Industrial Automation and Personal Assistance. This study reveals the potential of this robot to improve precision and flexibility in a realistic usage condition, thereby providing an important tool for automation with safety and productivity.
Artificial Intelligence (AI)-Powered Line Follower Robot with Hurdle Detection and Voice Control. (2024). International Journal of Latest Technology in Engineering Management & Applied Science, 13(11), 79-83. https://doi.org/10.51583/IJLTEMAS.2024.131109

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Kriti Bhagat, Saylee Deshmukh, Shraddha Dhonde, SnehaGhag publications of International Journal of Science,Engineering and Technology Research (IJSETR), Volume 5,Issue 2, February 2016.

SubhranilSom, Arjun Shome by publication SubhranilSomInt. Journal of Engineering Research and Applications, ISSN:2248-9622, Vol. 4, Issue 6 (Version3), June 2014.

M. S. Islam & M. A. Rahman published by Asian Journal of Applied Science and Engineering, Volume 2, No 2 (2013).

PrananjaliKoppad, Vishnu Agarwal published byInternational Journal of Engineering Research & Technology(IJERT), ISSN: 2278-0181, IJERTV3IS090023 Vol. 3 Issue9, September-2014

S. Akash, Bibek Kabi , Mr. S.Karthick published byInternational Journal of Recent Trends in Engineering, Vol 2,No. 7, November 2009.

Juing-HueiSu, Chyi-Shyong Lee, Hsin-HsiungHuangSheng-Hsiung Chuang &Chih-Yuan Lin published by WorldTransactions on Engineering and Technology Education 2010WIETE Vol.8, No.4, 2010

International Journal of Engineering Trends and Technology(IJETT) – Volume 32 Number 5- February 2016. SubankarRoy #1, TashiRapden Wangchuk#2, Rajesh Bhatt#3[8]. Inteligent Line Follower Mini-Robot System RománOsorio C., José A. Romero, Mario Peña C., Ismael López-Juárez, International Journal of Computers, Communications& Control Vol. I (2006), No. 2, pp. 73-83. DOI: https://doi.org/10.15837/ijccc.2006.2.2287

Development and Applications of Line Following RobotBased Health Care Management System by Deepak Punetha,Neeraj Kumar, Vartika Mehta, International Journal ofAdvanced Research in Computer Engineering & Technology(IJARCET) Volume 2, Issue 8, August 2013.

HCSR04 Ultrasonic Sensor Elijah J. Morgan Nov. 16 2014.

Inteligent Line Follower Mini-Robot System Román Osorio C., José A. Romero, Mario Peña C., Ismael López-Juárez, International Journal of Computers, Communications & Control Vol. I (2006), No. 2, pp. 73-83. DOI: https://doi.org/10.15837/ijccc.2006.2.2287

Development and Applications of Line Following Robot Based Health Care Management System by Deepak Punetha, Neeraj Kumar, Vartika Mehta, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)Volume 2, Issue 8, August 2013.

HCSR04 Ultrasonic Sensor Elijah J. Morgan Nov. 16 2014.

SIMPLE DELIVERY ROBOT SYSTEM BASED ON LINE MAPPING METHOD EndrowednesKuantama, Albert Brian Lewis Lukas and Pono Budi Mardjoko Electrical Engineering, Universities PelitaHarapan, Jl. M.H. Thamrin Boulevard, Lippo Karawaci, Tangerang Indonesia.

Obstacle Avoiding Robot By Faiza Tabassum, SusmitaLopa, Muhammad Masud Tarek & Dr. Bilkis Jamal Ferdosi, Global Journal of Researches in Engineering.

Han, R., Chen, S., Wang, S., Zhang, Z., Gao, R., Hao, Q., & Pan, J. (2022, July 1). Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards. Institute of Electrical and Electronics Engineers, 7(3), 5896-5903. https://doi.org/10.1109/lra.2022.3161699 DOI: https://doi.org/10.1109/LRA.2022.3161699

Orr, J W., & Dutta, A. (2023, March 30). Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey. Multidisciplinary Digital Publishing Institute, 23(7), 3625-3625. https://doi.org/10.3390/s23073625 DOI: https://doi.org/10.3390/s23073625

Wondosen, A., & Shiferaw, D. (2024, January 1). Fuzzy Logic Controller Design for Mobile Robot Outdoor Navigation. Cornell University. https://doi.org/10.48550/arXiv.2401.

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Artificial Intelligence (AI)-Powered Line Follower Robot with Hurdle Detection and Voice Control. (2024). International Journal of Latest Technology in Engineering Management & Applied Science, 13(11), 79-83. https://doi.org/10.51583/IJLTEMAS.2024.131109