Bahram Imani
Papers
1
Total Citations
6
H-Index
1
About
Bahram Imani is a researcher whose work centers on the modeling, path planning, and control of bipedal robotic systems, with a particular emphasis on adaptive and intelligent control strategies. His most-cited paper, "Modeling, path planning and control of a planar five-link bipedal robot by an adaptive fuzzy computed torque controller (AFCTC)" (2013), has garnered 6 citations and represents a key contribution to the field. In this work, Imani extended the equations of motion for a planar five-link bipedal robot to describe its movement on a flat horizontal surface during the single support phase. By integrating locomotion constraints and kinematic relationships, he developed an adaptive fuzzy computed torque controller that enhances the robot's stability and trajectory tracking. This approach demonstrates his ability to combine theoretical modeling with practical control design, addressing challenges in bipedal locomotion. Imani’s research is valuable for students and researchers interested in robotics, control systems, and adaptive algorithms, offering insights into how fuzzy logic can improve the performance of complex dynamic systems.
Research Focus
Key Achievements
Top Papers
- 1