Zhanat Makhataeva

Papers

Total Citations

290

H-Index

About

Zhanat Makhataeva is a leading researcher at the intersection of augmented reality (AR) and robotics, with a focus on enhancing human-robot interaction and safety. Her most influential work, the 2020 review "Augmented Reality for Robotics," has garnered 262 citations, establishing her as a key voice in the field. In this comprehensive survey, she systematically cataloged how AR technologies—from camera-based image integration to virtual overlays—are revolutionizing robotic perception and control, providing a foundational resource for researchers and practitioners alike. Makhataeva’s major contributions center on making robots safer and more intuitive for human collaboration. Her 2019 paper on "Safety Aura Visualization" (17 citations) introduced an innovative AR-based method that projects a dynamic "safety aura" around variable impedance actuated robots, visually communicating danger zones to human coworkers in real time. This work directly addresses critical challenges in physical human-robot interaction. Additionally, her research on deep learning-based object recognition using synthetic depth scenes (11 citations) advances robotic grasping in cluttered environments, demonstrating her versatility in combining computer vision and robotics. Through these achievements, Makhataeva has significantly advanced the practical deployment of AR in robotics, improving both operational safety and perceptual capabilities.