Amir Mousavinia

Papers

Total Citations

H-Index

About

Amir Mousavinia is a researcher whose work bridges robotics, control systems, and bio-inspired sensing. His primary research areas include autonomous mobile robotics, system identification, and biologically inspired optical sensors. A key contribution is his work on two-wheel self-balanced mobile robots, where he developed a system identification approach using experimental data to achieve dynamic equilibrium—a fundamental challenge in balancing robotics. This paper has garnered 9 citations, reflecting its relevance to the field. Mousavinia has also made notable strides in bio-inspired engineering, designing a hemispherical omni-directional optical sensor modeled after the compound eye of flying insects. This sensor, detailed in a 2012 paper with 4 citations, demonstrates feasibility for advanced navigation and maneuver control, mimicking the sophisticated visual systems found in nature. His work sits at the intersection of practical robotics and biomimicry, offering innovative solutions for autonomous systems. For students and researchers, Mousavinia’s research highlights how combining experimental modeling with biological inspiration can lead to novel approaches in mobile robot stabilization and sensory perception.