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

3
H-Index
6
Papers
87
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A review of visual SLAM for robotics: evolution, properties, and future applications
63 citations · 2024
📈 Most Prolific Year: 2025 (4 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Oldenburger Institut für Informatik, Izmir Kâtip Çelebi University, Otto-von-Guericke University Magdeburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago