Ayan Mazhitov
Papers
3
Total Citations
22
H-Index
3
About
Ayan Mazhitov is a robotics researcher whose work sits at the intersection of tactile sensing, human-robot interaction, and augmented reality. His primary research focus is on developing novel sensing systems that allow robots to perceive and interact with their physical environment—particularly through touch. Mazhitov’s most cited work, “Human–robot handover with prior-to-pass soft/rigid object classification via tactile glove” (2022, 9 citations), demonstrates his ability to combine wearable sensing with real-time object classification, enabling safer and more intuitive robot-to-human object transfers. He further pushes the boundaries of tactile perception in “E-BTS: Event-Based Tactile Sensor for Haptic Teleoperation in Augmented Reality” (2024, 8 citations), where he pioneers the use of event-based cameras to detect contact—a novel approach that promises faster, more robust tactile feedback for remote manipulation. His earlier work on “Deformable Object Recognition Using Proprioceptive and Exteroceptive Tactile Sensing” (2019, 5 citations) established a foundational method for distinguishing object properties through internal and external sensing. Collectively, Mazhitov’s research is shaping the future of dexterous robotic manipulation, with direct applications in teleoperation, assistive robotics, and immersive human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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