Hossein Mohammad Kazemi
Sharif University of Technology, Malaysia University of Science and Technology
Papers
2
Total Citations
7
H-Index
2
About
Hossein Mohammad Kazemi is a robotics researcher whose work focuses on intelligent control systems and path planning for autonomous and parallel robots. His key research areas include collision-free navigation, fuzzy logic control, and underwater robotics. In his most cited work, Kazemi developed an Artificial Potential Field approach for path planning of a 3-RRR parallel robot, effectively avoiding mechanical interferences and obstacles within the workspace—a critical contribution to precision robotics. He also designed and constructed an underwater robot controlled by a microcontroller-based fuzzy logic controller, enhancing stability and robustness during forward motion. This work demonstrated an innovative use of on-chip RAM for improved control. Though his citation counts are modest, with 4 and 3 citations respectively, these papers represent foundational steps in practical robot control and obstacle avoidance. Kazemi’s contributions are particularly valuable for researchers exploring low-cost, efficient control strategies for parallel and underwater robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2