Sofiane Ramdani

Centre National de la Recherche Scientifique, Université de Montpellier

Papers

Total Citations

230

H-Index

About

Sofiane Ramdani is a researcher specializing in human-robot interaction (HRI), with a particular focus on real-time physical collaboration between humans and robotic systems. His work sits at the intersection of computer vision, gesture recognition, and intelligent robotics, addressing one of the most pressing challenges in modern robotics: enabling machines to understand and respond naturally to human intent. Ramdani's most significant contributions center on developing robust frameworks for hand gesture detection and 3D skeleton extraction, allowing robots to interpret human operator movements reliably even across varied and complex backgrounds. His 2019 paper on background-invariant hand gesture detection has garnered 126 citations, establishing it as a landmark contribution to the field. Alongside collaborative work on physical HRI using skeleton information, cited 51 times, his research has helped lay the groundwork for safer and more intuitive human-robot collaboration in dynamic environments. His involvement in the BAZAR project — a collaborative robot concept designed for the factory of the future, also with 51 citations — demonstrates his commitment to translating theoretical frameworks into practical industrial applications. Ramdani's body of work continues to influence researchers and engineers working toward seamlessly integrated human-robot workspaces.