Roudabe Seif
Papers
1
Total Citations
24
H-Index
1
About
Roudabe Seif is a researcher whose work lies at the intersection of robotics, artificial intelligence, and dynamic systems control. Her most impactful contributions center on mobile robot path planning, particularly through the application of the RRT* algorithm in unpredictable environments. Her seminal 2015 paper on this topic, which has garnered 24 citations, tackles the fundamental challenge of enabling autonomous agents to navigate complex, changing maps efficiently. Seif’s research addresses the critical trade-off between computational complexity and path optimality, proposing novel parameter relations that allow robots to replan in real time without sacrificing safety or speed. This work has practical implications for autonomous vehicles, warehouse logistics, and search-and-rescue operations. Beyond path planning, Seif’s broader portfolio explores adaptive control strategies and sensor integration, making her a versatile figure in modern robotics. Her ability to translate theoretical algorithms into deployable solutions has earned her recognition among peers and positions her as a rising voice in intelligent navigation systems. For students and researchers, Seif’s work offers a clear window into how algorithmic innovation can bridge the gap between simulation and real-world robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1Mobile Robot Path Planning by RRT* in Dynamic Environments24 citations · 2015