Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67882
Volume:
10 |
10 |
Oct 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electronics & Telecommunication Department
JSPM's BSP Wagholi
Electronics & Telecommunication Department
JSPM's BSP Wagholi
Electronics & Telecommunication Department
JSPM's BSP Wagholi
Electronics & Telecommunication Department
JSPM's BSP Wagholi
Electronics & Telecommunication Department
JSPM's BSP Wagholi
This paper summarizes the working, design, and potential benefits of an Automated Warehouse Picking and Sorting Robot. The system uses sensors, a microcontroller, motors, and a robotic mechanism to identify, pick, transport, and sort products into designated locations. The coordination of hardware and software enables the robot to perform warehouse tasks with reduced human intervention. The paper examines how automation can minimize manual effort, reduce sorting errors, save time, and improve the efficiency of warehouse operations. It also discusses important factors affecting system performance, including sensor accuracy, motor control, object detection, programming, and mechanical stability. The system is suitable for applications in e-commerce warehouses, manufacturing industries, logistics centers, and distribution facilities. However, implementation may involve challenges such as initial costs, maintenance, and handling products of different sizes and shapes. Overall, the paper highlights the potential of robotic automation to improve material handling, product organization, and resource utilization. Future improvements using artificial intelligence, machine vision, and intelligent navigation could further enhance the flexibility, accuracy, and reliability of automated warehouse operations.
KEYWORDS
The Automated Warehouse Picking and Sorting Robot improves warehouse efficiency by automating product identification, picking, transportation, and sorting. It reduces manual effort, saves time, and minimizes sorting errors. With future improvements in artificial intelligence and machine vision, the system can provide smarter, faster, and more reliable warehouse operations.
1. Boysen, N., Schwerdfeger, S., and Ulmer, M. (2023). “Robotized Sorting Systems: Large-Scale Scheduling under Real-Time Conditons with Limited Lookahead.” European Journal of Operational Research, 310(2), 582–596. 2. Renaud, J., et al. (2024). “Manual and Robotic Storage and Picking Systems: A Literature Review.” INFOR: Information Systems and Operational Research, 62(3), 313–343. 3. Zhuang, Y., Zhou, Y., Hassini, E., Yuan, Y., and Hu, X. (2024). “Improving Order Picking Efficiency through Storage Assignment Optimization in Robotic Mobile Fulfillment Systems.” European Journal of Operational Research, 316(2), 718–732. 4. Feng, C. (2024). “Design of Logistics Sorting Algorithm Based on Deep Learning and Sampling Evaluation.” International Journal of Computational Intelligence Systems, 17, Article 82. 5. Wu, J., Yang, Z., Zhen, L., Li, W., and Ren, Y. (2025). “Joint Optimization of Order Picking and Replenishment in Robotic Mobile Fulfillment Systems.” Transportation Research Part E: Logistics and Transportation Review, 194, Article 103930. 6. Ma, B. J., Pan, S., Zou, B., Kuo, Y.-H., and Huang, G. Q. (2025). “Operating Policies for Robotic Cellular Warehousing Systems.” Transportation Research Part E: Logistics and Transportation Review, 194, Article 103875. 7. Barnhart, C., Jacquillat, A., and Schmid, A. (2025). “Robotic Warehousing Operations: A Learn-Then-Optimize Approach to Large-Scale Neighborhood Search.” INFORMS Journal on Optimization, 7(3), 171–194. 8. He, X., Wang, S., and Wang, H. (2025). “Optimizing Warehouse Operations with Autonomous Mobile Robots.” Transportation Science. 9. Yu, D., et al. (2025). “Machine Learning Optimizes the Efficiency of Picking and Packing in Automated Warehouse Robot Systems.” 2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering. 10. “Robotic Mobile Fulfilment System: A Literature Review.” (2025). Transportation Research Procedia, 91, 465–472.
Publication Date
10/12/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
7
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...