Reem Nasir
Papers
1
Total Citations
4
H-Index
1
About
Reem Nasir is a researcher in robotics and autonomous systems, with a primary focus on motion planning and exploration in unknown environments. Her most cited work, “Gap Navigation Trees for Discovering Unknown Environments” (2015), introduces a novel gap-based algorithm that enables mobile robots to navigate and explore unfamiliar spaces without prior maps. This approach offers locally optimal solutions, distinguishing itself from traditional roadmap-based methods by emphasizing efficiency and adaptability in real-time exploration. While her citation count of 4 reflects a specialized, emerging impact, the work contributes foundational ideas to the field of autonomous navigation, particularly for applications in search-and-rescue, planetary exploration, and environmental monitoring. Nasir’s research addresses a critical challenge in robotics: enabling machines to make intelligent, resource-efficient decisions in dynamic, unknown settings. Her work is of particular interest to students and researchers developing algorithms for autonomous agents operating in unstructured environments, where robustness and minimal computational overhead are paramount.
Research Focus
Key Achievements
Top Papers
- 1Gap Navigation Trees for Discovering Unknown Environments4 citations · 2015