Dawda Lamusah
Papers
1
Total Citations
6
H-Index
1
About
Dawda Lamusah is a robotics researcher whose work centers on advancing autonomous navigation through innovative path-planning methodologies. His most-cited paper, "Comparative analysis of popular mobile robot roadmap path-planning methods" (2025, 6 citations), provides a critical evaluation of global path-planning techniques, including Voronoi diagrams, rapidly exploring random trees (RRT), and probabilistic roadmaps (PRM). This study is instrumental in helping roboticists select and integrate optimal roadmap-based approaches for complex environments, highlighting trade-offs in efficiency, safety, and computational cost. Lamusah’s contributions are particularly valuable for mobile robotics applications requiring robust, real-time navigation. Though early in his career, his work has already garnered attention for its practical insights into combining these methods with other planning algorithms. By systematically comparing these foundational techniques, Lamusah offers a roadmap—both literal and figurative—for future innovations in autonomous systems, making his research a key reference for students and engineers seeking to understand the strengths and limitations of modern path-planning strategies.
Research Focus
Key Achievements
Top Papers
- 1