Mahnoor Fatima

Papers

Total Citations

H-Index

About

Mahnoor Fatima is a pioneering researcher in socially interactive robotics, with a core focus on active binaural auditory perception and human-robot interaction. Her most-cited work, "Active Binaural Auditory Perceptual System for a Socially Interactive Humanoid Robot" (2022), addresses a critical challenge in robotics: enabling humanoid robots to localize sound sources and execute natural gaze shifts in noisy, reverberant environments. Fatima’s contributions advance the integration of auditory perception into social robotics, demonstrating that accurate sound source localization (SSL) is essential for robots to engage in intuitive, human-like interactions. Her research has garnered 3 citations, reflecting its niche but growing impact on the field of auditory robotics. By tackling the non-trivial problem of estimating sound direction and coordinating gaze behavior under real-world acoustic conditions, Fatima has laid groundwork for more responsive and perceptually aware social robots. Her work is particularly notable for bridging auditory processing and motor behavior, offering a blueprint for future systems that can seamlessly interact with humans through both hearing and visual attention.