Aqeel A. Mohammed
Papers
1
Total Citations
2
H-Index
1
About
Aqeel A. Mohammed is a researcher focused on advancing autonomous navigation and intelligent robotic systems, with particular expertise in real-time path planning for dynamic environments. His most-cited work, "New Algorithm for Autonomous Dynamic Path Planning in Real-Time Intelligent Robot Car" (2017), tackles the critical challenge of enabling robots to navigate safely and efficiently through spaces containing both static and moving obstacles. Mohammed’s contribution lies in developing an algorithm that balances optimal path selection with minimal computational cost and execution time—a persistent bottleneck in autonomous vehicle and robotics research. While his citation count is modest, this work addresses a foundational problem in the field: ensuring that intelligent systems can make split-second decisions without sacrificing path quality. His research has implications for autonomous cars, warehouse robots, and any application requiring real-time obstacle avoidance. Mohammed’s focus on cost-effective, time-efficient solutions positions him as a contributor to the practical deployment of autonomous systems, where theoretical algorithms must meet the demands of unpredictable, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1