Papers
10
Total Citations
189
H-Index
7
About
Sara Bouraine is a leading researcher in mobile robotics, specializing in provably safe navigation and motion planning for robots operating in unknown, dynamic environments. Her foundational work addresses the critical challenge of ensuring collision-free movement when robots have limited sensory field-of-views, a problem she tackles through innovative applications of the inevitable collision state (ICS) concept. Her most influential paper, "Provably safe navigation for mobile robots with limited field-of-views in dynamic environments" (2011, 81 citations), established a rigorous framework for safety guarantees under real-world constraints. Bouraine has since advanced the field by integrating nature-inspired algorithms into motion planning, notably through particle swarm optimization (PSO) for scan-matching and simultaneous localization and mapping (SLAM), as seen in her 2021 work (20 citations). Her recent contributions, such as the GLWOA-RRT* approach (2025), demonstrate a continued commitment to blending biological inspiration with formal safety proofs. With over 180 total citations, Bouraine’s research is essential reading for engineers and researchers developing autonomous systems that must navigate safely alongside humans in unpredictable settings.
Research Focus
Key Achievements
Top Papers
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- 7NDT-PSO, a New NDT based SLAM Approach using Particle Swarm Optimization8 citations · 2020
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