Shokraneh K. Moghaddam
Papers
2
Total Citations
104
H-Index
2
About
Shokraneh K. Moghaddam is a leading researcher at the intersection of intelligent manufacturing, robotics, and digital twin technology. Her work focuses on advancing autonomous systems through dynamic optimization and human-robot collaboration. Her most influential contribution is the development of a digital twin-based framework for the dynamic reconfiguration of intelligent manufacturing systems, which integrates real-time data with simulation to enhance flexibility and efficiency in human-robot collaborative environments. This seminal paper has garnered 86 citations, underscoring its impact on smart factory design. Earlier, Moghaddam made significant strides in robot navigation with her recursive approach to Navigation among Movable Obstacles (NAMO), a foundational method for enabling robots to autonomously rearrange their environment to reach goals. This work, with 18 citations, has informed subsequent research in mobile robotics. Her achievements reflect a rare ability to bridge theoretical algorithms with practical industrial applications, positioning her as a key figure in the evolution of adaptive, collaborative manufacturing systems.
Research Focus
Key Achievements
Top Papers
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