Nor Suriyanti Osman
Papers
5
Total Citations
14
H-Index
2
About
Nor Suriyanti Osman is a researcher specializing in industrial robotics and manufacturing automation, with a focus on the safe and efficient configuration of robot work cells. Her work addresses the critical challenge of designing robot workspaces that are both safe and productive, minimizing human involvement and costly trial-and-error adjustments. Her most cited paper, "CONFIGURING SAFE INDUSTRIAL ROBOT WORK CELL IN MANUFACTURING INDUSTRY" (2016, 5 citations), proposes a framework for determining safe working areas, emphasizing fast and easy configuration. She further developed this into a systematic approach for calculating workspace area and manufacturing throughput time (2017, 3 citations). Osman’s notable contributions include an automated platform for designing multiple robot work cells (2017, 2 citations) and an automated configuration system (ACS) for reconfiguring work cells (2017, 2 citations). Her multi-shaped layout approach (2017, 2 citations) offers flexibility by adapting to varying numbers of robots and layout configurations. With a cumulative impact of over 14 citations, Osman’s work is foundational for researchers and engineers seeking to streamline robot work cell design, enhance safety, and reduce setup time in modern manufacturing 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