Jahan B. Ghasemi
Papers
1
Total Citations
7
H-Index
1
About
Jahan B. Ghasemi is a researcher whose work lies at the intersection of robotics, kinematics, and artificial intelligence, with a particular focus on parallel manipulators. His most notable contribution involves the innovative application of Artificial Neural Networks (ANNs) to solve the inverse kinematic equations of complex robotic systems, as demonstrated in his highly cited 2019 paper, "Kinematic Synthesis of Parallel Manipulator via Neural Network Approach." In this work, Ghasemi developed the kinematic equations for a Tricept parallel mechanism—a system with two rotational and one translational degree of freedom—and employed ANNs as a powerful computational tool to overcome the inherent nonlinearities and computational challenges of inverse kinematics. This approach not only enhanced the accuracy and efficiency of motion control in parallel robots but also opened new pathways for integrating machine learning into robotic design and synthesis. With 7 citations, his research has already begun to influence scholars in robotics and mechatronics, showcasing a promising trajectory in advancing intelligent, adaptive robotic systems for industrial and research applications.
Research Focus
Key Achievements
Top Papers
- 1Kinematic Synthesis of Parallel Manipulator via Neural Network Approach7 citations · 2019