A. M. A. Soliman

Papers

Total Citations

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About

Dr. A. M. A. Soliman is a leading researcher in mobile robotics, specializing in motion planning and trajectory optimization. His work addresses a critical challenge in autonomous navigation: generating paths that are not only collision-free but also kinodynamically feasible for real-world robots. Soliman’s most influential contribution is his 2021 paper on “Space deformation based path planning for Mobile Robots,” which has garnered 18 citations for its novel approach to adapting paths in complex environments. He further advanced the field with his work on “Path Smoothing Algorithm Using Thin-Plate Spline” (2021, 4 citations), where he tackled the problem of sharp, inefficient turns common in traditional planners. By proposing a post-smoothing technique that generates stable, efficient trajectories, Soliman’s research directly improves robot performance in tasks ranging from warehouse logistics to autonomous exploration. His focus on bridging the gap between theoretical path planning and practical kinodynamic constraints marks him as a key contributor to the next generation of intelligent, smoothly navigating mobile systems.