Saiedeh Gholami
K.N.Toosi University of Technology, Tarbiat Modares University
Papers
4
Total Citations
32
H-Index
4
About
Saiedeh Gholami’s research bridges robotics and manufacturing optimization, focusing on intelligent motion planning and automated production systems. Her most influential work introduces a sensor-based online algorithm for mobile robot navigation in unknown environments, enabling collision-free, globally optimal path generation—a critical advance for autonomous systems. This paper has garnered 11 citations, underscoring its relevance to real-time robotics. In manufacturing, Gholami has made foundational contributions to cyclic robotic cell scheduling. She developed novel mathematical models using Petri nets and particle swarm meta-heuristics to minimize cycle times for multi-part, three-machine cells, achieving up to eight citations per paper. Her systematic identification of 36 potentially optimal robot movement policies for flexible cells provides a comprehensive framework for maximizing throughput. Gholami’s work is notable for its practical impact on both autonomous navigation and industrial automation, offering efficient solutions that directly enhance robot performance and production efficiency. Her research continues to influence scholars and engineers working at the intersection of robotics, optimization, and smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1A new effective algorithm for on-line robot motion planning11 citations · 2013
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