Omar Mostafa

Papers

1

Total Citations

3

H-Index

1

About

Omar Mostafa is a robotics researcher whose work focuses on autonomous navigation and motion planning for non-holonomic agents in constrained environments. His most notable contribution, presented at the 2025 International Conference on Automation, Robotics, and Applications (ICARA), introduces a novel 2D exploration strategy for planar spaces cluttered with obstacles. Unlike conventional approaches that assume point robots with instantaneous pose control, Mostafa’s research is tailored to classical agents with circular footprints—a realistic constraint that reflects the physical limitations of many real-world robots. By addressing the challenge of agents that cannot instantly adjust their position or orientation, his work bridges a critical gap between theoretical planning algorithms and practical deployment. Though early in its citation impact, this paper has already garnered attention for its pragmatic, application-driven methodology. Mostafa’s contributions are particularly relevant to fields such as warehouse automation, search-and-rescue robotics, and autonomous ground vehicles, where efficient, safe navigation in tight, obstacle-dense spaces is paramount. His research exemplifies a commitment to developing robust, physically grounded solutions that advance the capabilities of autonomous systems in complex environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
2025 11th International Conference on Automation, Robotics, and Applications (ICARA)
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago