Ailani Morales
Papers
1
Total Citations
7
H-Index
1
About
Ailani Morales is a leading researcher in autonomous underwater robotics, with a primary focus on perception and navigation in extreme, unstructured environments. Her work is centered on enabling autonomous underwater vehicles (AUVs) to safely and effectively explore and map underwater caves—a domain critical for hydrogeology, water resource management, and historical studies. Her most-cited paper, "Weakly Supervised Caveline Detection for AUV Navigation Inside Underwater Caves" (2023), introduces a novel computer vision approach that allows robots to identify navigable pathways in dark, confined, and visually degraded cave systems without requiring extensive labeled training data. This contribution directly addresses the major bottleneck in autonomous cave mapping: the need for robust, real-time perception. With 7 citations in a short time, this work is already influencing the field. Morales’s research promises to replace the current time-consuming, labor-intensive, and hazardous manual mapping operations with safe, autonomous robotic missions, representing a significant leap forward in underwater exploration technology.
Research Focus
Key Achievements
Top Papers
- 1