Elhaouari Kobzili
Papers
4
Total Citations
37
H-Index
4
About
Elhaouari Kobzili is a researcher at the forefront of autonomous navigation, specializing in Simultaneous Localization and Mapping (SLAM) for mobile robots and unmanned vehicles. His work focuses on enhancing the robustness of autonomous systems in dynamic, unknown environments through advanced filtering techniques. Kobzili’s major contribution lies in the development of adaptive Smooth Variable Structure Filter (SVSF) algorithms for SLAM, notably introducing an adaptive boundary layer width to improve estimation accuracy and stability. His most cited work, "SLAM based on Adaptive SVSF for Cooperative Unmanned Vehicles in Dynamic environment" (2019, 20 citations), addresses the critical challenge of multi-robot cooperation under uncertainty. He has further advanced stereo vision-based SLAM and obstacle avoidance, integrating computer vision with microprocessors for real-time navigation. With a cumulative citation count exceeding 37, Kobzili’s research bridges theoretical filtering methods and practical robotic applications, offering scalable solutions for autonomous exploration. His work is particularly valuable for students and engineers developing resilient navigation systems for field robotics.
Research Focus
Key Achievements
Top Papers
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- 2Visual SVSF-SLAM Algorithm Based on Adaptive Boundary Layer Width9 citations · 2018
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