Design and Implementation of a Low-Cost IoT-Based Robotic Arm for Product Feeding and Sorting in Manufacturing Lines

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Bibliografski detalji
Izdano u:Electronics vol. 14, no. 24 (2025), p. 4801-4827
Glavni autor: Yilmaz Serdar
Daljnji autori: Akay Canan, Feyzi, Kaysi
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MDPI AG
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024 7 |a 10.3390/electronics14244801  |2 doi 
035 |a 3286276192 
045 2 |b d20250101  |b d20251231 
084 |a 231458  |2 nlm 
100 1 |a Yilmaz Serdar  |u Electronics Technology, Vocational School of Technical Sciences, Istanbul University-Cerrahpasa, Istanbul 34500, Türkiye; serdar.yilmaz@iuc.edu.tr 
245 1 |a Design and Implementation of a Low-Cost IoT-Based Robotic Arm for Product Feeding and Sorting in Manufacturing Lines 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a The convergence of Internet of Things (IoT), embedded microcontrollers, and robotics has significantly transformed industrial and service applications under the Industry 5.0 paradigm. IoT-enabled automation not only reduces human intervention but also improves system efficiency, safety, and adaptability across multiple domains. The growing integration of automation technologies in manufacturing lines has significantly reduced human intervention while improving productivity and operational safety. Robotic arms play a crucial role in modern industrial environments, particularly for repetitive, hazardous, or precision-demanding tasks. This study presents a cost-effective robotic arm system for product selection, sorting and processing in automated production lines. The system operates in both automatic and manual modes and utilizes an ESP32-based controller, radio frequency identification (RFID) modules, and low-cost sensors to identify and transport products on a conveyor. A mobile, IoT-enabled interface provides remote real-time monitoring and control, while integrated safety mechanisms, current-voltage protections, and emergency stop circuitry enhance operational reliability. Using cost-effective components to reduce total cost, the system has been successfully validated through experiments to reduce labor dependency and operational errors, proving its scalability and economic viability for industrial automation. Compared to similar systems, this study presents an Industry 5.0 approach for low-cost IoT-based automated production lines. 
610 4 |a CNN 
653 |a Robotics 
653 |a Agriculture 
653 |a Low cost 
653 |a Internet of Things 
653 |a Artificial intelligence 
653 |a Radio frequency 
653 |a Embedded microcontrollers 
653 |a Automation 
653 |a Production lines 
653 |a Robot arms 
653 |a Sensors 
653 |a Component reliability 
653 |a Remote monitoring 
653 |a Design 
653 |a Radio frequency identification 
653 |a Circuits 
653 |a Manufacturing 
653 |a Real time 
653 |a Industrial safety 
653 |a Cost effectiveness 
700 1 |a Akay Canan  |u Control and Automation Technology, Vocational School of Technical Sciences, Istanbul University-Cerrahpasa, Istanbul 34500, Türkiye; fkaysi@iuc.edu.tr 
700 1 |a Feyzi, Kaysi  |u Control and Automation Technology, Vocational School of Technical Sciences, Istanbul University-Cerrahpasa, Istanbul 34500, Türkiye; fkaysi@iuc.edu.tr 
773 0 |t Electronics  |g vol. 14, no. 24 (2025), p. 4801-4827 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3286276192/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3286276192/fulltextwithgraphics/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3286276192/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch