Mostafa Mohammed Massoud Hamd

Arab Academy for Science, Technology, and Maritime Transport

Papers

1

Total Citations

4

H-Index

1

About

Mostafa Mohammed Massoud Hamd is a researcher specializing in robotics and autonomous navigation, with a particular focus on omni-wheeled mobile robots (OWMRs) and dynamic path planning. His work addresses the critical challenge of algorithm selection for real-world indoor applications, including autonomous transportation, surveillance, and search-and-rescue missions. In his most-cited paper (2024, 4 citations), Hamd introduces a novel ranking approach that systematically evaluates and selects the most suitable dynamic path planning algorithm for four-omni-wheeled mobile robots (4OWMRs), bridging the gap between theoretical algorithm performance and practical deployment constraints. This contribution is significant for enhancing robot efficiency and safety in complex, changing environments. Hamd’s research stands out for its applied methodology, offering engineers a structured decision-making tool rather than a one-size-fits-all solution. His work is gaining traction among robotics researchers and practitioners seeking to optimize navigation in confined indoor spaces, marking him as an emerging voice in intelligent mobility systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Selecting Dynamic Path Planning Algorithm Based-Upon Ranking Approach for Omni-Wheeled Mobile Robot
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Arab Academy for Science, Technology, and Maritime Transport

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago