Sujin Bureerat
Papers
5
Total Citations
239
H-Index
5
About
Sujin Bureerat is a leading researcher in the intersection of metaheuristic optimization and mechanical design, with a particular focus on robotics and complex engineering systems. Her work centers on developing novel hybrid optimization algorithms—such as the grasshopper optimization algorithm and flow direction optimizer—to solve challenging real-world problems. Bureerat’s major contributions include the robust design of robot gripper mechanisms and the development of self-adaptive algorithms for multiobjective trajectory planning in 6D robots. Her most influential paper, "Robust design of a robot gripper mechanism using new hybrid grasshopper optimization algorithm," has garnered 124 citations, demonstrating its significant impact on the field. She has also advanced the solution of inverse kinematics and trajectory planning for robot manipulators using metaheuristic approaches. With over 200 total citations across her key works, Bureerat’s research is widely recognized for bridging theoretical optimization methods with practical mechanical engineering applications, making her a notable figure in the development of efficient, nature-inspired algorithms for industrial robotics and design optimization.
Research Focus
Key Achievements
Top Papers
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- 3Self-adaptive MRPBIL-DE for 6D robot multiobjective trajectory planning27 citations · 2019
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- 5Trajectory Planning of a 6D Robot based on Meta Heuristic Algorithms7 citations · 2018