Amir Molaee
Papers
1
Total Citations
8
H-Index
1
About
Amir Molaee is a researcher specializing in robotics, mechanism design, and computer vision, with a particular focus on the kinematic calibration and control of spherical robots. His most cited work, "Vision-based kinematic calibration of spherical robots" (2015, 8 citations), introduces an innovative method for obtaining the spatial coordinates of a spherical robot’s moving platform using a single camera. This approach offers a flexible, low-cost, and experimentally validated tool for precise kinematic calibration, addressing a critical challenge in spherical-workspace mechanisms. Molaee’s contributions lie at the intersection of vision-based sensing and robotic accuracy, providing practical solutions that enhance the performance of parallel and spherical manipulators. While his citation count reflects a niche but impactful area of study, his work is valued for its experimental rigor and accessibility, making it a useful reference for researchers in robotics and automation. Molaee’s research continues to support advances in calibration techniques, with potential applications in medical robotics, manufacturing, and precision engineering.
Research Focus
Key Achievements
Top Papers
- 1Vision-based kinematic calibration of spherical robots8 citations · 2015