Ammar Abdul Ameer Rasheed

University of Technology, University of Technology - Iraq

Papers

2

Total Citations

64

H-Index

2

About

Ammar Abdul Ameer Rasheed is a researcher at the forefront of intelligent robotics and autonomous systems, with a primary focus on multi-agent coordination and mobile robot navigation. His work bridges the critical gap between theoretical multi-agent systems and practical multi-robot applications, advancing how distributed robotic teams collaborate to solve complex tasks. In his highly cited 2022 review on multi-agent mobile robot systems—garnering 45 citations—Rasheed systematically synthesized the principles of cooperative work among robotic agents, establishing a foundational framework that has guided subsequent research in swarm robotics and distributed automation. Complementing this, his work on path planning introduces a novel hybrid technique that fuses sampling-based algorithms with heuristic methods for wheeled mobile robots, achieving 19 citations for its practical improvements in both static and dynamic environments. By designing algorithms that enhance real-time navigation efficiency, Rasheed’s contributions are directly applicable to logistics, search-and-rescue, and industrial automation. His research not only demonstrates strong citation impact but also provides actionable tools for engineers developing autonomous ground vehicles, marking him as a rising authority in intelligent robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
64
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
A review of multi-agent mobile robot systems applications
45 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Technology, University of Technology - Iraq

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago