Papers
8
Total Citations
123
H-Index
6
About
Samia Bouchafa is a researcher whose work spans robotics, autonomous navigation, and intelligent systems, with particular expertise in multi-robot coordination, simultaneous localization and mapping (SLAM), and computer vision. Her most impactful contributions address critical challenges in industrial automation and autonomous systems. In the industrial robotics domain, her pioneering work on multi-robot task sequencing and automatic path planning for automotive production lines has garnered significant attention, accumulating 48 citations since 2021, demonstrating the real-world value of her optimization frameworks for reducing cycle times in car manufacturing environments. Complementing this, her 2022 follow-up on collision avoidance further solidifies her standing in this space. Beyond industrial applications, Bouchafa has made notable strides in indoor localization through her WeCo-SLAM system, a wearable cooperative SLAM framework designed to maintain robust real-time positioning where GPS signals fail — an achievement that has attracted 35 citations. Her research portfolio also reflects forward-thinking interests in emerging sensing technologies, including event-based cameras for optical flow and deep learning-driven pose estimation, as well as earlier foundational work in visual odometry and rotorcraft motion control. Collectively, her contributions reflect a researcher bridging theoretical innovation with practical, deployment-ready solutions across multiple cutting-edge robotic domains.
Research Focus
Key Achievements
Top Papers
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- 5Deep Learning For Pose Estimation From Event Camera6 citations · 2022
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- 8Focus of Expansion Localization through Inverse C-Velocity2 citations · 2011