Aliki Stefanopoulou
Papers
1
Total Citations
2
H-Index
1
About
Aliki Stefanopoulou is a leading researcher in multi-robot systems and autonomous aerial robotics, with a primary focus on optimizing coverage path planning (CPP) for unmanned aerial vehicles (UAVs). Her work addresses critical challenges in multi-UAV operations, particularly in improving time and energy efficiency during complex coverage missions. In her notable 2024 paper, she introduced novel methodologies for optimizing the initial positions of UAVs to minimize both energy consumption and mission duration when covering user-defined regions of interest. This contribution is especially valuable for applications in search-and-rescue, environmental monitoring, and precision agriculture, where efficient resource utilization is paramount. With over 2 citations already for her recent work, Stefanopoulou is establishing herself as an emerging voice in the field of cooperative robotics. Her research bridges the gap between theoretical optimization and practical deployment, offering scalable solutions for multi-robot coordination. By addressing the fundamental trade-offs between time and energy in autonomous systems, she is helping to pave the way for more sustainable and effective aerial robotic operations in real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1