Abbas Sidaoui

American University of Beirut

Papers

5

Total Citations

191

H-Index

5

About

Abbas Sidaoui is a robotics researcher whose work spans healthcare robotics, human-robot interaction, and autonomous navigation systems. He is perhaps best known for his 2018 scoping review, "Robotics in Nursing," which has garnered over 150 citations and remains a foundational reference for understanding how robotic systems are being deployed to address critical nursing shortages and the growing demands of aging global populations. This work systematically mapped the landscape of nursing robotics, providing researchers and practitioners with a comprehensive framework for understanding the field's trajectory. Beyond healthcare applications, Sidaoui has made notable contributions to Simultaneous Localization and Mapping (SLAM) technology, developing innovative human-in-the-loop approaches that leverage augmented reality to improve robotic navigation. His A-SLAM system, utilizing Microsoft HoloLens, enables operators to correct robot mapping errors in real time — a meaningful advance in practical robot deployment. His subsequent work on collaborative SLAM and enhanced teleoperation through autocomplete further demonstrates his commitment to reducing the cognitive burden on human operators while improving robotic performance. His most recent research on Joint-Initiative Supervised Autonomy reflects a maturing focus on frameworks that thoughtfully balance human oversight with machine autonomy, positioning him as a thoughtful contributor to the evolving field of human-robot collaboration.

Research Focus

Key Achievements

5
H-Index
5
Papers
191
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Robotics in Nursing: A Scoping Review
154 citations · 2018
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: American University of Beirut

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago