Papers
3
Total Citations
29
H-Index
3
About
Samer Charifa is a roboticist whose work lies at the intersection of autonomous navigation, sensor-based perception, and intelligent motion planning. His research focuses on overcoming fundamental challenges in mobile robotics, particularly in the areas of path planning and 3D environmental mapping. Charifa made significant contributions to the study of artificial potential field (APF) methods, most notably through a comprehensive 2009 comparison of geometrical, kinematic, and dynamic performance across several APF variants—a paper that has garnered 12 citations and remains a reference for researchers tackling local minima entrapment. He further advanced the field by developing an adaptive boundary-following algorithm that works in tandem with potential functions, ensuring robust navigation without requiring the potential field to avoid close boundary encounters. In the domain of robotic vision, Charifa proposed a fast surface detection algorithm for extracting 3D volumetric maps using a pitch-actuated 2D laser range finder, enabling critical applications such as stair climbing, inspection, and search-and-rescue missions. His work bridges theoretical rigor with practical deployment, offering elegant solutions to persistent problems in autonomous robot navigation and environmental understanding.
Research Focus
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