Dalia Marcela Rojas Castro
Papers
1
Total Citations
5
H-Index
1
About
Dalia Marcela Rojas Castro is a researcher whose work sits at the intersection of robotics, computer vision, and document image analysis. Her key contributions focus on enabling autonomous indoor navigation by leveraging visual information extracted from physical documents. In her most cited work, she proposed a novel approach that allows a mobile robot to analyze a paper-based floor plan in real time, using that extracted spatial data as a reference for navigation before exploring the physical environment. This integration of document image processing with robotic path planning represents a creative bridge between static, printed information and dynamic, autonomous movement. While her citation count is still growing, her work demonstrates a forward-thinking application of document analysis to solve practical robotics challenges. Rojas Castro’s research is particularly relevant for students and engineers interested in how robots can interpret human-readable materials—like maps or diagrams—to make intelligent decisions in unfamiliar indoor spaces. Her approach opens up possibilities for low-cost, flexible navigation systems that do not rely solely on pre-mapped digital data.
Research Focus
Key Achievements
Top Papers
- 1