RoBatt: Battery Sorting Robot using Epson VT6 and YOLO v8

This project explores the differentiation of AA, D, and 9V batteries using RoBatt, an Epson VT6 robot integrated with YOLOv8, a state-of-the-art object detection model. The robotic arm is controlled to detect and sort batteries using parameters modeled by the YOLO v8. The use of YOLO v8 allows such detection and classification to occur instantly without compromising the efficiency of the sorting process. Additionally, to improve its operational capabilities, RoBatt is equipped with electromagnetic gripper for the purpose of attracting batteries. The result of the study shows viability to use deep learning and robotics for sorting batteries, and it can be done for commercial or recycling purposes. This integration presents a novel concept for battery waste management and recycling system.

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Institutions

Publication Details

Journal
Journal of Applied Science and Advanced Engineering
Published
2025-03-30
DOI
https://doi.org/10.59097/jasae.v3i1.53
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
1.24

Funders

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article

RoBatt: Battery Sorting Robot using Epson VT6 and YOLO v8

Judhi Prasetyo, Faizan Mistry
1 citations
Journal of Applied Science and Advanced Engineering
Advanced Manufacturing and Logistics Optimization
1.24
article

RoBatt: Battery Sorting Robot using Epson VT6 and YOLO v8

Judhi Prasetyo, Faizan Mistry
article en
1 citations

Abstract

This project explores the differentiation of AA, D, and 9V batteries using RoBatt, an Epson VT6 robot integrated with YOLOv8, a state-of-the-art object detection model. The robotic arm is controlled to detect and sort batteries using parameters modeled by the YOLO v8. The use of YOLO v8 allows such detection and classification to occur instantly without compromising the efficiency of the sorting process. Additionally, to improve its operational capabilities, RoBatt is equipped with electromagnetic gripper for the purpose of attracting batteries. The result of the study shows viability to use deep learning and robotics for sorting batteries, and it can be done for commercial or recycling purposes. This integration presents a novel concept for battery waste management and recycling system.

Journal of Applied Science and Advanced EngineeringVol. 3(1)
Robotics Research (United States) (US), Middlesex University Dubai (AE)
Middlesex University
Openalex Percentile: Top 21%
Advanced Manufacturing and Logistics Optimization
1.24
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