Design and implementation of a digital twin for a line-follower robot

This project leverages a digital twin in Unity 3D to replicate and enhance the navigation capabilities of a three-wheeled line-follower robot operating on a 2-meter closed-loop track with a narrow path. The robot is equipped with two DC gear motors, a front caster, and three infrared sensors, utilizing an ESP32 for control. MATLAB facilitates communication between the digital twin and the physical robot via WiFi, employing UDP and TCP protocols, while a PID controller optimizes navigation accuracy, particularly on challenging surfaces. The line-follower serves as a case study to evaluate MATLAB’s capability in controlling digital twins, with a scalable framework adaptable to other robotic systems like robotic arms, enhancing real-time testing and analysis over WiFi. Experimental testing on a large white surface with a black path mirroring the digital twin revealed minor delays at sharp turns and slight reductions in motor efficiency. Dual-mode test runs confirmed the digital twin’s reliability in accurately replicating the robot's movements. An HTTP-based web dashboard was developed to enhance real-time monitoring, enabling seamless access to data from both models. Inspired by a vision to empower future students with a cutting-edge robotics learning environment, this project provides an integrated, open-source model and controller for hands-on exploration. By bridging theoretical learning with practical application, it contributes to scalable navigation solutions for warehouse and laboratory environments, with prospects for future enhancements

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.17376893
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and implementation of a digital twin for a line-follower robot

Zenodo (CERN European Organization for Nuclear Research)
Control and Dynamics of Mobile Robots
article

Design and implementation of a digital twin for a line-follower robot

article en

Abstract

This project leverages a digital twin in Unity 3D to replicate and enhance the navigation capabilities of a three-wheeled line-follower robot operating on a 2-meter closed-loop track with a narrow path. The robot is equipped with two DC gear motors, a front caster, and three infrared sensors, utilizing an ESP32 for control. MATLAB facilitates communication between the digital twin and the physical robot via WiFi, employing UDP and TCP protocols, while a PID controller optimizes navigation accuracy, particularly on challenging surfaces. The line-follower serves as a case study to evaluate MATLAB’s capability in controlling digital twins, with a scalable framework adaptable to other robotic systems like robotic arms, enhancing real-time testing and analysis over WiFi. Experimental testing on a large white surface with a black path mirroring the digital twin revealed minor delays at sharp turns and slight reductions in motor efficiency. Dual-mode test runs confirmed the digital twin’s reliability in accurately replicating the robot's movements. An HTTP-based web dashboard was developed to enhance real-time monitoring, enabling seamless access to data from both models. Inspired by a vision to empower future students with a cutting-edge robotics learning environment, this project provides an integrated, open-source model and controller for hands-on exploration. By bridging theoretical learning with practical application, it contributes to scalable navigation solutions for warehouse and laboratory environments, with prospects for future enhancements

Zenodo (CERN European Organization for Nuclear Research)
Riga Technical University (LV)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Control and Dynamics of Mobile Robots
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Design and implementation of a digital twin for a line-follower robot · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS