Goksun Beren Usta

Papers

1

Total Citations

3

H-Index

1

About

Göksun Beren Usta is a researcher at the forefront of industrial automation and logistics, with a primary focus on Cyber-Physical Systems (CPS) and their application in modern warehousing. Her most cited work, "Towards developing a cyber-physical warehouse system for automated order-picking for online shopping" (2022), addresses the critical challenge of integrating physical robots with cyber infrastructure to meet the soaring demands of e-commerce fulfillment. In this study, she systematically analyzes the complex interactions between multiple robotic agents and their environment, proposing a framework that enhances coordination and efficiency in automated order-picking. With 3 citations to date, this foundational paper has already begun to influence discussions on smart logistics and Industry 4.0. Usta’s contributions are particularly notable for bridging the gap between theoretical CPS models and practical warehouse applications, tackling real-world issues such as robot-to-robot communication and dynamic task allocation. Her work is essential reading for students and researchers interested in the future of automated supply chains, offering a clear pathway from concept to implementation in one of today’s most rapidly evolving industrial sectors.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Towards developing a cyber-physical warehouse system for automated order-picking for online shopping
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago