Maryam Ghassabzadeh Saryazdi

Papers

1

Total Citations

1

H-Index

1

About

Maryam Ghassabzadeh Saryazdi is a robotics researcher whose work centers on the trajectory optimization of industrial manipulators, with a particular focus on spot-welding robots. Her key contribution lies in developing and comparing optimization strategies in both joint space and Cartesian space, addressing the critical challenge of balancing precision, speed, and energy efficiency in automated manufacturing. Her most-cited paper, "Trajectory Optimization of a Spot-Welding Robot in the Joint and Cartesian Spaces," published in 2023, provides a rigorous framework for minimizing cycle time while maintaining weld quality—a problem of direct relevance to the automotive and heavy machinery industries. Though early in her career, this work has already garnered attention for its practical methodology, offering engineers clear trade-offs between kinematic constraints and dynamic performance. Ghassabzadeh Saryazdi’s research bridges the gap between theoretical optimization algorithms and real-world robotic applications, making her a promising voice in the field of industrial automation and robot motion planning.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
TRAJECTORY OPTIMIZATION OF A SPOT-WELDING ROBOT IN THE JOINT AND CARTESIAN SPACES, 109-125.
1 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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