Ivana Collado-Gonzalez

Papers

Total Citations

H-Index

About

Ivana Collado-Gonzalez is a leading researcher in underwater robotics, specializing in perception, localization, and multi-robot coordination in GPS-denied environments. Her work addresses fundamental challenges in autonomous underwater vehicles (AUVs), particularly in feature-sparse or sensor-limited settings. Her most impactful contribution, **DRACo-SLAM** (20 citations), introduces a distributed, robust, and communication-efficient SLAM framework for teams of imaging sonar-equipped underwater robots, enabling cooperative tasks through shared environmental understanding and relative pose estimation. She further advanced the field with her comprehensive work on **Perception for Underwater Robots** (10 citations), synthesizing key sensing and state estimation techniques. Her recent research on **Real-Time Planning Under Uncertainty for AUVs Using Virtual Maps** (2024) tackles the persistent problem of localization drift by incorporating uncertainty into pose estimation, offering a novel approach for navigation in challenging underwater conditions. Collado-Gonzalez’s contributions are critical for enabling reliable, long-duration autonomous missions, from environmental monitoring to infrastructure inspection, and her work continues to shape the future of resilient multi-robot underwater systems.