Automated Guided Vehicle Using Advanced Line Follower Algorithm For Transporting Heavy Payloads

Authors

  • Anoob Jose Department of Mechanical Engineering, Federal Institute of Science and Technology, Angamaly, Kerala, India
  • Noble Josey Department of Mechanical Engineering, Federal Institute of Science and Technology, Angamaly, Kerala, India
  • K P Sidharth Department of Mechanical Engineering, Federal Institute of Science and Technology, Angamaly, Kerala, India
  • Reuban James Department of Mechanical Engineering, Federal Institute of Science and Technology, Angamaly, Kerala, India
  • Rejeesh C R Department of Mechanical Engineering, Federal Institute of Science and Technology, Angamaly, Kerala, India https://orcid.org/0000-0002-9834-3655

DOI:

https://doi.org/10.61779/jasetm.v1i1.1

Keywords:

Automation, Arduino Uno, IR sensors, Human intervention, Feedback

Abstract

Automation describes a wide range of technologies that reduce human intervention in processes. In general, automation can be defined as a technology concerned with performing a process by means of programmed commands combined with automatic feedback control to ensure proper execution of the instructions. In this paper, the authors describe an approach that was initiated towards automated transportation of heavy components, which has multiple industrial and commercial applications such as warehouses, libraries, hospitals etc. This work uses Arduino Uno microcontroller, IR sensors for path detection, and DC Motors to move the trolley using the input signals from the user. Therefore, providing a low cost, power efficient product to aid the user. Through implementation of advanced line follower system, the trolley is programmed to move along a preplanned route to traverse across multiple sections of the library carrying a huge payload (up to 100 kg). This paper presents the development of an automated trolley to be implemented in a library environment. “Automated Library Trolley” aids in hands free transportation of books without compromising its working conditions and increasing its efficiency.

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Published

26-05-2023

How to Cite

Jose, A., Josey, N., Sidharth, K. P., James, R., & Rejeesh C R. (2023). Automated Guided Vehicle Using Advanced Line Follower Algorithm For Transporting Heavy Payloads. Journal of Applied Science, Engineering, Technology and Management, 1(01), 01–05. https://doi.org/10.61779/jasetm.v1i1.1

Issue

Vol. 1 No. 01 (2023): Journal of Applied Science, Engineering, Technology and Management

Section

Articles

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Copyright (c) 2023 Rejeesh C R

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