Ernest Kurniawan
Otto-von-Guericke University Magdeburg, Institute for Infocomm Research
Papers
3
Total Citations
55
H-Index
3
About
Ernest Kurniawan is a robotics and automation researcher whose work focuses on intelligent inventory management and dynamic scheduling for autonomous systems. His most impactful contribution is the development of AuRoSS (Autonomous Robotic Shelf Scanning system), a pioneering solution for automated library inventory control. This system addresses the critical challenge of tracking books that are frequently borrowed, returned, or misplaced—a task that is both time-consuming and essential for library operations. With 41 citations, AuRoSS demonstrates significant practical value in applying robotics to real-world logistics. Kurniawan has also made important advances in dynamic scheduling for multi-robot systems. His research tackles the complex problem of coordinating mobile robots for pickup and delivery tasks with time constraints, particularly in environments enhanced by Internet of Things (IoT) technology. Additionally, he has developed scheduling methods for heterogeneous resources—robots with different capabilities and human workers with varied skills—in flexible manufacturing systems, considering both time windows and task precedence relations. These contributions, each with 7 citations, showcase his ability to address real-time operational challenges in logistics and manufacturing.
Research Focus
Key Achievements
Top Papers
- 1AuRoSS: An Autonomous Robotic Shelf Scanning system41 citations · 2015
- 2Dynamic scheduling for pickup and delivery with time windows7 citations · 2018
- 3