Abdelbaki Bouguerra

Örebro University, Université de M'Sila

Papers

17

Total Citations

221

H-Index

10

About

Abdelbaki Bouguerra is a leading researcher in autonomous robotics, specializing in safe manipulation, semantic knowledge-based execution monitoring, and multi-robot navigation. His foundational work on "Support relation analysis and decision making for safe robotic manipulation tasks" (34 citations) and "Automatic relational scene representation for safe robotic manipulation tasks" (13 citations) provides robots with advanced cognitive abilities to understand object configurations and ensure safe interactions. Bouguerra’s major contributions include developing novel approaches for intelligent execution monitoring using semantic domain knowledge, as demonstrated in his highly cited papers "Monitoring the execution of robot plans using semantic knowledge" (33 citations) and "Semantic Knowledge-Based Execution Monitoring for Mobile Robots" (21 citations), which address uncertainty and dynamic environments. His research on "Particle swarm optimization of potential fields for obstacle avoidance" (17 citations) and "Navigation of mobile robots by potential field methods and market-based optimization" (10 citations) optimizes multi-robot navigation through artificial potential fields and swarm intelligence. Bouguerra’s work on "Robust execution of robot task-plans" (12 citations) and "To secure an anchor" (15 citations) further advances reliable plan execution and perceptual anchoring. With over 180 total citations, his research significantly impacts safe, robust, and intelligent robotic systems for real-world applications.

Research Focus

Key Achievements

10
H-Index
17
Papers
221
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Support relation analysis and decision making for safe robotic manipulation tasks
34 citations · 2015
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Örebro University, Université de M'Sila

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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