Zainul Azereen Zaini
Papers
5
Total Citations
14
H-Index
2
About
Zainul Azereen Zaini is a researcher focused on advancing industrial robotics through safer, more efficient work cell configuration. Her key research areas include robotic workspace optimization, manufacturing throughput analysis, and automated design systems for robot work cells. Zaini’s major contributions center on developing systematic frameworks and computer-aided tools that simplify the complex, knowledge-intensive process of configuring robot work cells. Her most cited work, “Configuring Safe Industrial Robot Work Cell in Manufacturing Industry” (2016, 5 citations), proposes a practical framework for determining safe robot workspace, emphasizing speed and ease of use. She further extended this with a systematic approach to workspace area and throughput time calculation (2017, 3 citations), and created an automated platform for designing multiple robot work cells (2017, 2 citations). Her development of an Automated Configuration System (ACS) for reconfiguring robot work cells (2017, 2 citations) and a multi-shaped layout approach (2017, 2 citations) demonstrate her commitment to reducing trial-and-error, human involvement, and costs. Zaini’s work is notable for its practical impact on manufacturing, offering industry-ready solutions that enhance safety and productivity in robotic environments.
Research Focus
Key Achievements
Top Papers
- 1CONFIGURING SAFE INDUSTRIAL ROBOT WORK CELL IN MANUFACTURING INDUSTRY5 citations · 2016
- 2
- 3Automated platform for designing multiple robot work cells2 citations · 2017
- 4Development of An Automated Configuration System for Robot Work Cell2 citations · 2017
- 5Configuring robot work cell based on a multi-shaped layout approach2 citations · 2017