Mohamed Amr
Papers
2
Total Citations
5
H-Index
2
About
Mohamed Amr’s research lies at the intersection of robotics and artificial intelligence, with a sharp focus on advancing autonomous navigation through path-planning algorithms. His work tackles a fundamental challenge in mobile robotics: designing routes that are not only the shortest and most time-efficient but also collision-free. Amr’s major contributions include rigorous comparative analyses of informed versus uninformed algorithms, as well as the development of hybrid optimization techniques. Notably, his 2022 study comparing improved path-planning algorithms for mobile robots has garnered early recognition with 3 citations, establishing a foundation for his growing influence. Building on this, his 2025 paper introduces a novel synergy of modified Particle Swarm Optimization and Genetic Algorithms, achieving more effective, adaptive navigation solutions. Though his citation counts are modest—reflecting the recency of his work—Amr’s research is already shaping practical robotics applications, from industrial automation to service robots. His systematic approach to optimizing navigation efficiency and safety marks him as an emerging voice in the field, with potential to impact real-world autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2