Mohammad Abu Yousuf
Papers
9
Total Citations
182
H-Index
9
About
Mohammad Abu Yousuf is a leading researcher in human-robot interaction and socially aware robotics, with a particular focus on developing intelligent systems that can perceive, interpret, and respond to human behavior. His work bridges computer vision, IoT, and assistive technology, making robots more intuitive and accessible. Yousuf’s major contributions include pioneering models for museum guide robots that can initiate conversations with visitors and establish appropriate spatial formations—work that has garnered over 30 citations. He has also developed novel systems for calculating a human’s visual focus and attention level, enabling robots to gauge engagement and respond accordingly. With more than 45 citations, his 2021 paper on attention-level calculation stands as his most influential. Beyond social robotics, Yousuf has made significant strides in assistive technology, designing gesture-controlled robots and IoT-based smart wheelchairs for disabled and elderly individuals. His recent work on 3D object tracking from 2D pixel matrices demonstrates continued innovation in perception systems. Through over 180 total citations, Yousuf has established himself as a key figure in creating robots that are not only functionally capable but also socially intelligent and empathetic.
Research Focus
Key Achievements
Top Papers
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- 5How Can a Robot Calculate the Level of Visual Focus of Human’s Attention16 citations · 2020
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- 9Establishment of spatial formation by a mobile guide robot10 citations · 2012