Joanna Daaboul
Papers
1
Total Citations
12
H-Index
1
About
Joanna Daaboul is a researcher whose work sits at the intersection of industrial robotics, configuration engineering, and user-centered design. Her key research areas include modular product architectures, mass customization, and the development of design patterns for complex manufacturing systems. Daaboul’s most notable contribution is her 2014 paper, "A design pattern for industrial robot: User-customized configuration engineering," which has garnered 12 citations and provides a foundational framework for enabling non-expert users to tailor industrial robots to specific tasks through configurable, modular components. This work addresses a critical gap in automation by making robotic systems more accessible and adaptable, reducing the need for specialized programming. Her research has practical implications for small and medium enterprises seeking flexible, cost-effective automation solutions. Daaboul’s achievements include advancing the concept of design patterns in robotics—a methodology borrowed from software engineering—and demonstrating how user-driven customization can streamline production workflows. While her citation count reflects a focused, early-stage impact, her contributions are pivotal for researchers exploring human-robot collaboration and agile manufacturing, offering a blueprint for democratizing industrial automation.
Research Focus
Key Achievements
Top Papers
- 1