Elena Stoian
Papers
1
Total Citations
11
H-Index
1
About
Elena Stoian’s research lies at the intersection of mobile robotics, artificial intelligence, and control systems, with a focus on enabling autonomous navigation in dynamic environments. Her most-cited work, “Using Artificial Potential Field Methods and Fuzzy Logic for Mobile Robot Control” (2006, 11 citations), introduces a novel hybrid control approach that combines artificial potential fields with fuzzy logic to guide mobile robots through unconstrained spaces. By integrating attractive and repulsive potential fields with fuzzy decision-making, Stoian’s method enhances robot adaptability, allowing for smoother obstacle avoidance and more efficient path planning. This contribution is particularly notable for its practical application in real-world robotics, where traditional control methods often struggle with uncertainty. While her citation count reflects a focused, early-career impact, Stoian’s work has influenced subsequent studies in intelligent robotics and autonomous systems. Her research demonstrates a commitment to bridging theoretical control techniques with implementable solutions, making her a valuable contributor to the field of mobile robot navigation.
Research Focus
Key Achievements
Top Papers
- 1