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About

Hussein M. Fawzy is a robotics researcher focused on advancing autonomous navigation and practical robotic applications for the built environment. His primary research areas include path planning algorithms, bio-inspired navigation systems, and robotic maintenance solutions for infrastructure. Fawzy made a notable contribution to construction robotics with his work on a "Robotic Façade Cleaning System for High-Rise Buildings" (2019, 9 citations), addressing the critical safety and efficiency gaps in conventional skyscraper maintenance that relies on hazardous ropes and scaffolds. In the domain of autonomous navigation, he has advanced physical-model-based path planning by developing an "Enhanced Fluid Potential Dynamical Models" framework (2022, 2 citations) that mimics natural fluid flow for more intuitive robot movement. His subsequent work on "Computational Time Reduction in Stream Field Navigation" (2022, 2 citations) introduced dynamic path search and selection methods to overcome the computational limitations of traditional combinatorial and sampling-based algorithms. Fawzy's research bridges theoretical algorithm development with real-world robotic applications, contributing to safer, more efficient autonomous systems for complex environments.