Papers
6
Total Citations
87
H-Index
3
About
Basheer Al-Tawil is an emerging robotics researcher whose work spans autonomous navigation, human-robot interaction, and intelligent robotic systems. He is perhaps best recognized for his highly cited 2024 review of Visual SLAM (V-SLAM) for robotics, which has already accumulated 63 citations and stands as a comprehensive survey charting the evolution, properties, and future directions of simultaneous localization and mapping in real-world robotic applications. His contributions extend beyond survey work: his research on enhanced mobile robot navigation integrates RGB-D cameras and 2D LiDAR through multi-sensor fusion strategies, advancing both mapping accuracy and localization efficiency in dynamic environments. Al-Tawil has also made notable strides in agricultural robotics, designing and analyzing a four-degree-of-freedom robotic arm with dual grippers to address labor shortages and sustainability challenges in farming. His work in human-robot interaction is equally compelling, encompassing eye contact-based engagement prediction for natural real-time interaction and a multi-head attention residual network framework for human action recognition. Collectively, his research reflects a commitment to building robots that can perceive, navigate, and meaningfully collaborate with humans across diverse and demanding real-world settings.
Research Focus
Key Achievements
Top Papers
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- 3Mobile Robot Navigation with Enhanced 2D Mapping and Multi-Sensor Fusion7 citations · 2025
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- 6Mobile Robot Navigation with Enhanced 2D Mapping and Multi-Sensor Fusion2 citations · 2025