Papers
2
Total Citations
9
H-Index
2
About
Alireza Motahari is a robotics researcher whose work centers on the design and control of hyper-redundant manipulators—robotic arms with many degrees of freedom that can bend and snake through complex environments. His primary contribution lies in tackling the unique challenges posed by **discretely actuated** systems, where each joint can only assume a finite set of positions rather than moving continuously. In his foundational 2013 paper, Motahari introduced the problem of **discrete kinematic synthesis**: selecting the optimal type for each module so the entire arm can reach multiple specified target poses. This work, with 6 citations, established a new practical framework for designing modular, reconfigurable robots. More recently, in 2024, he developed a **narrowing-down search algorithm** to solve the inverse kinematics problem for these systems, enabling efficient computation of joint configurations that achieve desired end-effector positions. While his citation counts are modest, Motahari’s research addresses a niche but critical gap in robotic manipulation—bridging discrete mathematics and mechanical design—and his methods have potential applications in medical robotics, search-and-rescue, and industrial automation where precise, flexible movement in constrained spaces is essential.
Research Focus
Key Achievements
Top Papers
- 1
- 2