Shiva Khatami
Papers
1
Total Citations
30
H-Index
1
About
Shiva Khatami’s research centers on the optimal design and kinematic performance of robotic manipulators, with a particular focus on achieving isotropic behavior—where a robot’s motion capabilities are uniform in all directions. In their most cited work, “Isotropic design optimization of robotic manipulators using a genetic algorithm method” (2003, 30 citations), Khatami introduced a novel approach that uses the Global Isotropy Index (GII) as a key performance metric. By applying a genetic algorithm to optimize manipulator geometry, they demonstrated how to maximize isotropy across the entire workspace, rather than at isolated points. This contribution provided a systematic, computational method for designing robots that move with equal ease in any direction, a critical property for precision tasks in manufacturing and surgery. Though the citation count is modest, the work’s influence is evident in subsequent studies on robotic dexterity and optimization. Khatami’s approach bridged evolutionary computation with mechanical design, offering a practical tool for engineers seeking to enhance manipulator performance. Their research remains a valuable reference for those exploring kinematic optimization in robotics.
Research Focus
Key Achievements
Top Papers
- 1