Lilyana Milusheva
Papers
1
Total Citations
7
H-Index
1
About
Lilyana Milusheva’s research lies at the intersection of robotics, wireless sensor networks, and intelligent control systems, with a focus on enhancing autonomous mobility in complex environments. Her most-cited work, “Neural net tracking control of a mobile platform in robotized wireless sensor networks” (2015, 7 citations), introduces a novel approach to integrating neural network-based control with mobile robotic platforms for dynamic monitoring tasks. This contribution addresses critical challenges in large-scale environmental surveillance, such as flood and fire detection, by enabling robots to adaptively navigate and maintain connectivity within sensor networks. Milusheva’s work is notable for bridging theoretical control methods with practical deployment in real-world scenarios, offering scalable solutions for autonomous data collection. Her research has been recognized for its potential to improve the efficiency and reliability of robotic systems in hazardous or remote areas. Through her innovative use of neural tracking algorithms, Milusheva has laid groundwork for more resilient and intelligent mobile sensor networks, making her a key figure in advancing autonomous environmental monitoring technologies.
Research Focus
Key Achievements
Top Papers
- 1