DESIGN OF A MECHATRONIC MODULAR DEVICE FOR COLOR SORTING OBJECTS USING A ROBOT MANIPULATOR

This study focuses on the development of an advanced mechatronic module device for sorting objects based on their colors using robotic manipulators. In alignment with global trends in mechatronics and automation, the research addresses not only precise measurement but also reliable data processing in complex environments. Advanced algorithms and innovative methods have been applied to enhance accuracy in object recognition and sorting. Particular attention has been given to mitigating errors caused by optical factors, lighting conditions, and external influences during color detection. Additionally, modern engineering approaches were used to ensure the reliable operation of the robotic manipulator in challenging industrial conditions. In Uzbekistan, modernization of industrial processes and implementation of high-precision measurement methods align with the Presidential Action Strategy for 2017–2021. This project provides practical recommendations for integrating innovative technologies into local industries. The research holds significant value in the development of intelligent systems for high-precision sorting based on robotic manipulators.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-26
DOI
https://doi.org/10.5281/zenodo.15091163
Primary Topic
Engineering and Agricultural Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DESIGN OF A MECHATRONIC MODULAR DEVICE FOR COLOR SORTING OBJECTS USING A ROBOT MANIPULATOR

Zenodo (CERN European Organization for Nuclear Research)
Engineering and Agricultural Innovations
article

DESIGN OF A MECHATRONIC MODULAR DEVICE FOR COLOR SORTING OBJECTS USING A ROBOT MANIPULATOR

article en

Abstract

This study focuses on the development of an advanced mechatronic module device for sorting objects based on their colors using robotic manipulators. In alignment with global trends in mechatronics and automation, the research addresses not only precise measurement but also reliable data processing in complex environments. Advanced algorithms and innovative methods have been applied to enhance accuracy in object recognition and sorting. Particular attention has been given to mitigating errors caused by optical factors, lighting conditions, and external influences during color detection. Additionally, modern engineering approaches were used to ensure the reliable operation of the robotic manipulator in challenging industrial conditions. In Uzbekistan, modernization of industrial processes and implementation of high-precision measurement methods align with the Presidential Action Strategy for 2017–2021. This project provides practical recommendations for integrating innovative technologies into local industries. The research holds significant value in the development of intelligent systems for high-precision sorting based on robotic manipulators.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Engineering and Agricultural Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.