Onur Berker Alhas
Papers
1
Total Citations
3
H-Index
1
About
Onur Berker Alhas is a researcher at the forefront of Cyber-Physical Systems (CPS) and intelligent automation, with a focused expertise in transforming warehouse logistics for the e-commerce era. His most cited work, "Towards developing a cyber-physical warehouse system for automated order-picking for online shopping" (2022, 3 citations), lays the groundwork for integrating physical robots with cyber decision-making to tackle the complex challenges of modern order fulfillment. Alhas addresses the critical interplay between multiple robots, their environment, and real-time system constraints—a key bottleneck in scaling online retail operations. By proposing a framework where cyber and physical components seamlessly interact, his research contributes to safer, more efficient, and adaptive warehouse automation. This work is particularly notable for its practical relevance, offering a blueprint for next-generation logistics systems that can cope with dynamic demand and robotic coordination. Alhas’s contributions are essential reading for students and researchers interested in the convergence of robotics, CPS, and supply chain innovation, highlighting a path toward fully autonomous, intelligent warehouses.
Research Focus
Key Achievements
Top Papers
- 1