Papers
1
Total Citations
4
H-Index
1
About
Tarek Saati is a researcher focused on advancing autonomous navigation for mobile robots, with particular expertise in path planning algorithms for complex indoor environments. His most-cited work, "An Improved Path Planning Algorithm for Indoor Mobile Robots in Partially-Known Environments" (2023), addresses the critical challenge of navigating dynamic, crowded spaces. Saati’s key contribution lies in developing a two-stage algorithm that first constructs an environmental model using a restricted tangent graph to compute the shortest static path, then adapts in real-time to obstacles and moving agents. This hybrid approach bridges the gap between global planning and local reactivity, enhancing robot safety and efficiency in partially-known settings. With 4 citations, his work is gaining traction among researchers in robotics and automation. Saati’s research holds promise for applications in logistics, healthcare, and service robotics, where reliable indoor navigation is essential. His achievements reflect a commitment to solving real-world mobility challenges, making him a rising voice in the field of intelligent robotic systems.
Research Focus
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Top Papers
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