Marjan Yaghoubi
Papers
4
Total Citations
139
H-Index
4
About
Dr. Marjan Yaghoubi is a leading researcher at the intersection of industrial robotics, artificial intelligence, and manufacturing automation. Her work focuses on two critical challenges: motion planning for industrial robots and the application of deep reinforcement learning to complex scheduling problems. Her most influential contribution is a comprehensive review of recent trends in robot motion planning, which has garnered 73 citations and serves as a foundational resource for researchers seeking to optimize robotic trajectories in dynamic factory environments. Dr. Yaghoubi has also pioneered the use of high-fidelity simulation platforms that integrate realistic robotic dynamics into industrial simulation tools—a breakthrough that allows manufacturers to safely pretest software before deployment, reducing costly errors. Her deep reinforcement learning framework for machine scheduling, detailed in two highly cited papers (2023 and 2025), demonstrates how AI can dynamically optimize production workflows, achieving efficiency gains unattainable with traditional methods. With over 139 total citations and a growing portfolio of work that bridges simulation theory and practical industrial application, Dr. Yaghoubi is shaping the future of smart manufacturing. Her research is essential reading for anyone interested in the convergence of robotics, reinforcement learning, and Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1A review of recent trend in motion planning of industrial robots73 citations · 2023
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