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

3
H-Index
3
Papers
55
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
AuRoSS: An Autonomous Robotic Shelf Scanning system
41 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Otto-von-Guericke University Magdeburg, Institute for Infocomm Research

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago