Natividad Duro
Papers
2
Total Citations
17
H-Index
2
About
Natividad Duro is a pioneering researcher at the intersection of unconventional computing and autonomous robotics, whose work reimagines how machines perceive and navigate unknown environments. Her primary research areas include reaction-diffusion (RD) systems, bio-inspired computation, and spatial data processing for autonomous agents. Duro’s major contribution lies in developing computational models that harness the natural spatiotemporal dynamics of RD processes to solve complex geometric and navigational problems. In her most-cited work, "Reaction-Diffusion based Computational Model for Autonomous Mobile Robot Exploration of Unknown Environments" (2014, 12 citations), she introduced a novel framework enabling robots to explore uncharted spaces without explicit mapping, using chemical-like wave propagation to guide movement. Her 2015 paper on "Reaction Diffusion Voronoi Diagrams" (5 citations) further advanced the field by demonstrating how RD systems can autonomously compute Voronoi diagrams—a fundamental tool for spatial partitioning—as an emergent property of the system’s evolution. This approach eliminates the need for traditional algorithmic steps, offering a more natural and efficient method for sensor data analysis. Duro’s work is notable for bridging theoretical chemistry-inspired computing with practical robotics, paving the way for more adaptive and resilient autonomous systems. Her contributions continue to inspire researchers exploring non-classical computation and embodied intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2Reaction Diffusion Voronoi Diagrams: From Sensors Data to Computing5 citations · 2015