Ehsan Maghsoodi

Papers

Total Citations

H-Index

About

Ehsan Maghsoodi is a researcher specializing in human-robot interaction, with a particular focus on gaze control systems for social robots in complex, multi-person settings. His most cited work, "Implementing a gaze control system on a social robot in multi-person interactions" (2020), has garnered 10 citations, establishing a foundation for understanding how robots can use eye contact and visual attention to navigate group dynamics. This contribution addresses a critical challenge in social robotics: enabling machines to engage naturally with multiple humans simultaneously, a skill essential for applications in education, healthcare, and collaborative workspaces. By designing algorithms that allow robots to track and respond to gaze cues in real time, Maghsoodi’s research bridges the gap between technical implementation and social cognition. His work not only advances the field of autonomous social behavior but also offers practical insights for developing more intuitive and trustworthy robotic companions. For students and researchers exploring the intersection of computer vision, robotics, and social psychology, Maghsoodi’s studies provide a clear, impactful example of how targeted gaze control can enhance robot-human communication in dynamic environments.