Abdelouahab Bazoula

Polytechnic School of Algiers

Papers

11

Total Citations

141

H-Index

8

About

Abdelouahab Bazoula is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, multi-robot cooperation, and intelligent control. He has made particularly significant contributions to the field of Simultaneous Localization and Mapping (SLAM), developing and refining algorithms based on the Smooth Variable Structure Filter (SVSF) — a robust estimation technique he has consistently applied to help unmanned ground vehicles (UGVs) navigate and map unknown, dynamic environments without human intervention. His most cited work, "Cooperative SLAM for multiple UGVs navigation using SVSF filter" (2017, 25 citations), exemplifies his focus on enabling swarms of robots to collaboratively construct large-scale maps through decentralized architectures and advanced data fusion strategies such as Covariance Intersection. Beyond SLAM, Bazoula has made noteworthy contributions to multi-robot formation control, pioneering fuzzy logic-based controllers for separation and bearing regulation, with foundational work dating back to 2007. Across more than a decade of research, his publications have collectively accumulated over 130 citations, reflecting sustained impact in the autonomous robotics community. His body of work offers valuable frameworks for students and engineers seeking practical, robust solutions to real-world autonomous navigation challenges.

Research Focus

Key Achievements

8
H-Index
11
Papers
141
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative SLAM for multiple UGVs navigation using SVSF filter
25 citations · 2017
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Polytechnic School of Algiers

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago