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The line follower robot: a meta-analytic approach.

Williamson Johnny Hatzinakis Brigido¹, Jose M Parente de Oliveira¹

¹Department of Computer Science, Aeronautics Institute of Technology, São Jose dos Campos, São Paulo, Brazil.

Peerj. Computer Science

|March 26, 2025

Summary

This meta-analytic review of line-follower robots reveals advancements in control and sensors but highlights a lack of scalability studies. Future research should focus on artificial intelligence integration and adaptability for dynamic environments.

Keywords:

Line follower robot Meta-analytic TEMAC

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Area of Science:

Autonomous Robotics
Meta-Analysis
Robotic Systems Engineering

Background:

Line-follower robots are crucial in autonomous robotics for industrial and educational applications.
A scarcity of comprehensive analyses exists for line-follower robot research.
The Theory of the Consolidated Meta-analytic Approach (TEMAC) provides a framework for systematic review.

Purpose of the Study:

To synthesize research on line-follower robots from 2001-2024.
To identify key contributions, trends, and research gaps in the field.
To guide future research directions for enhanced robotic systems.

Main Methods:

Meta-analytic review of 287 documents using TEMAC.
Systematic exploration of literature on control strategies, sensor integration, and noise reduction.
Analysis of research trends, including AI and machine learning integration.

Main Results:

Significant progress in control strategies, sensor integration, and noise reduction.
A notable gap exists in studies on scalability for large-scale industrial applications.
Emerging trends show increased integration of artificial intelligence and machine learning.

Conclusions:

Line-follower robot technology has advanced, but scalability remains a challenge.
Environmental variability and real-time adaptability require further investigation.
Future research should explore novel applications and AI-driven enhancements for next-generation robots.