Roseli F. Romero
Papers
2
Total Citations
12
H-Index
2
About
Roseli F. Romero is a leading researcher in the field of multi-robot systems and autonomous navigation, with a particular focus on intelligent control strategies for robotic teams. Her major contributions center on the development of the Locally Oriented Potential Field (LOPF) method, an innovative modification of the Potential Field Method based on Boundary Value Problems. This approach allows multiple robots to share a single environmental map while adjusting their navigation fields locally, enabling coordinated and collision-free movement in complex scenarios. Her work has been applied to dynamic domains such as robot soccer, where she has also integrated planning with rule-based systems to enhance team coordination and decision-making. Though her most-cited paper, "Multi Robot System based on Boundary Value Problems" (2006), has garnered 10 citations, its conceptual impact lies in advancing decentralized multi-robot control. Her research bridges theoretical foundations in harmonic potential fields with practical implementations, offering scalable solutions for swarm robotics and autonomous systems. Romero’s contributions are particularly notable for addressing the challenge of real-time adaptability in multi-agent environments, making her work a valuable reference for students and researchers exploring cooperative robotics and intelligent navigation.
Research Focus
Key Achievements
Top Papers
- 1Multi Robot System based on Boundary Value Problems10 citations · 2006
- 2