Papers
7
Total Citations
207
H-Index
6
About
Davide Chiarella is a pioneering researcher in underwater human-robot interaction (HRI), with a particular focus on gesture-based communication systems for autonomous underwater vehicles (AUVs) and diver-robot collaboration. His most significant contribution is the development of CADDIAN, a standardized gesture communication language enabling divers to intuitively instruct robotic companions during high-risk underwater operations, including search and rescue missions. First introduced through the EU-funded CADDY project in 2015 and refined across multiple influential publications, CADDIAN has accumulated over 180 citations, demonstrating substantial community impact. Chiarella's work addresses the uniquely challenging underwater environment, where traditional communication methods fail, by creating robust, vision-based gesture recognition pipelines validated for safety and reliability. Beyond diver-robot interaction, his research extends to multi-AUV coordination frameworks and autonomous marine platforms for environmental monitoring, including the detection and mapping of protected Posidonia meadows. His 2021 robustness validation study further strengthened the practical applicability of gesture-based systems in real-world deployments. Chiarella's body of work represents a cohesive and forward-thinking agenda, making him an essential reference for researchers working at the intersection of marine robotics, computer vision, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 2A Novel Gesture-Based Language for Underwater Human–Robot Interaction43 citations · 2018
- 3Gesture-based language for diver-robot underwater interaction35 citations · 2015
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