Francisca Rosique
Universidad Politécnica de Cartagena, University of Cartagena
Papers
3
Total Citations
485
H-Index
3
About
Francisca Rosique is a leading researcher in the intersection of autonomous systems, model-driven engineering, and safety-critical robotics. Her most impactful contribution is a comprehensive systematic review of perception systems and simulators for autonomous vehicles (AVs), which has garnered over 450 citations. This landmark work categorizes perception into environment sensing and positioning estimation, providing a foundational taxonomy that guides researchers and engineers in developing robust AV architectures. Beyond this, Rosique has advanced the field of safety engineering by introducing requirements traceability support within model-driven development for robotic applications. Her approach ensures that safety constraints are systematically tracked from design through implementation, enhancing the reliability of complex robotic systems. She also contributed to the C-Forge toolchain, developing a component-based meta-model and framework that streamlines the development of robotic software. Through her work, Rosique has bridged critical gaps between perception, safety, and software engineering, making her a key figure in the evolution of dependable autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3