Umniah I. Hameed
Papers
3
Total Citations
59
H-Index
3
About
Umniah I. Hameed is a robotics and intelligent systems researcher whose work centers on autonomous robot navigation, motion planning, and optimization-driven path-finding algorithms. Her most significant contributions lie in the development of hybrid path planning frameworks that combine the D* heuristic algorithm with Particle Swarm Optimization (PSO) to enable robots to navigate safely and efficiently through dynamic, obstacle-rich environments. Hameed's landmark 2018 paper on D*-PSO path planning for mobile robots in dynamic environments has garnered 29 citations, establishing her as a notable voice in the field of autonomous navigation. Building on this foundation, she extended her research to robotic manipulators, publishing two 2019 studies focused on two-link robotic arms operating in continuously changing environments — work that collectively attracted an additional 30 citations. These contributions are particularly valuable for addressing persistent challenges such as local minima entrapment and sharp-edge navigation failures that plague conventional planning algorithms. Her research holds meaningful real-world relevance, targeting applications where robots must coexist and interact with humans, animals, and other moving systems. Hameed's body of work reflects a strong commitment to making autonomous robotic systems more adaptive, intelligent, and practically deployable in unpredictable settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3