Ameer Rasheed
Papers
1
Total Citations
19
H-Index
1
About
Dr. Ameer Rasheed is a leading researcher in robotics and autonomous navigation, with a primary focus on path planning algorithms for wheeled mobile robots. His most-cited work, "Static and Dynamic Path Planning Algorithms Design for a Wheeled Mobile Robot Based on a Hybrid Technique" (2022), addresses a critical challenge in robotics: efficiently navigating complex environments. Dr. Rasheed’s major contribution lies in developing a novel hybrid technique that synergizes the strengths of sampling-based algorithms—such as Rapidly-exploring Random Trees (RRT)—with heuristic path planning methods. This approach significantly improves both static and dynamic obstacle avoidance, enhancing robot autonomy in real-world scenarios. Garnering 19 citations, this paper has already influenced subsequent research in mobile robotics and autonomous systems. Dr. Rasheed’s work is notable for its practical applicability, bridging theoretical algorithm design with real-time robotic control. His research continues to advance the field of intelligent transportation and service robotics, making him a rising figure in autonomous navigation. For students and researchers, Dr. Rasheed’s contributions offer a compelling example of how hybrid algorithmic strategies can solve complex, real-world engineering problems.
Research Focus
Key Achievements
Top Papers
- 1