Papers
25
Total Citations
214
H-Index
9
About
Firas A. Raheem is a robotics and autonomous systems researcher whose work centers on robot path planning, motion optimization, and intelligent control systems. He has made significant contributions to the field by developing hybrid algorithmic approaches that combine classical heuristic methods with modern optimization techniques. Most notably, Raheem pioneered the integration of Particle Swarm Optimization (PSO) with established path-planning algorithms such as D* and A*, producing more efficient and collision-free navigation solutions for robots operating in dynamic environments with moving obstacles. His 2018 paper on D*-PSO path planning has garnered 29 citations, reflecting strong community interest in his hybrid methodology. Raheem has also extended these techniques to robotic manipulators, demonstrating their applicability to two-link robotic arms navigating complex, changing workspaces. Beyond path planning, his work on PID and fuzzy logic controllers for balancing robot stabilization showcases his breadth across control theory. His survey contributions on swarm robotics and the RRT algorithm further establish him as a thoughtful synthesizer of emerging research trends. With over 150 cumulative citations, Raheem's work offers valuable practical frameworks for researchers tackling real-world autonomous navigation and manipulation challenges.
Research Focus
Key Achievements
Top Papers
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- 4PID and Fuzzy Logic Controller Design for Balancing Robot Stabilization19 citations · 2018
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- 7Robot Path-Planning Research Applications in Static and Dynamic Environments10 citations · 2022
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- 9A Survey on Swarm Robotics for Area Coverage Problem9 citations · 2023
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