Celina Haffele Da Rocha
Papers
2
Total Citations
21
H-Index
2
About
Celina Haffele Da Rocha is a robotics researcher whose work sits at the intersection of computer vision, autonomous navigation, and underwater robotics. Her most recognized contribution centers on appearance-based odometry and mapping for Autonomous Underwater Vehicles (AUVs), a technically demanding field where conventional navigation methods are severely limited by the challenging underwater environment. In her notable 2009 work, Da Rocha explored how visual feature descriptors extracted from onboard cameras could be leveraged not only for inspection and mapping tasks but also to support robot localization and navigation — a dual-purpose approach that advances the practical utility of AUVs in real-world deployments. This research addresses a critical gap in underwater robotics, where GPS signals are unavailable and sensor noise is significant, making vision-based methods an essential alternative. Her contributions have accumulated citations across multiple publication venues, reflecting the relevance of her work to the broader robotics and marine technology communities. Da Rocha's research lays important groundwork for future developments in autonomous underwater exploration, infrastructure inspection, and environmental monitoring, making her work valuable reading for students and researchers working in mobile robotics and marine autonomy.
Research Focus
Key Achievements
Top Papers
- 1
- 2