Payman Moallem
Papers
5
Total Citations
70
H-Index
5
About
Payman Moallem’s research career bridges two distinct fields: robotics and computer vision. In robotics, he is best known for his work on spherical robots, particularly the design and development of an energy-efficient two-pendulum spherical robot. His 2019 paper on this topic, which has garnered 28 citations, demonstrates an 11% improvement in energy efficiency by decoupling lateral and longitudinal motion. Earlier, in 2014, he developed a linear quadratic regulator (LQR) controller for stabilizing a prototype spherical rolling robot, a contribution that has been cited 15 times. In computer vision, Moallem has made significant advances in stereo matching algorithms. His 2003 paper on fast edge-based stereo matching, which reduces search space to improve both speed and accuracy, has been cited 9 times, as have his related 2002 and 2005 studies. These works establish relationships between search space parameters and edge displacement, offering practical solutions for real-time 3D vision. With a total of over 70 citations across his most-cited papers, Moallem’s contributions are valued for their practical impact on energy-efficient robotics and efficient computer vision systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2LQR motion control and analysis of a prototype spherical robot15 citations · 2014
- 3
- 4
- 5