Papers
17
Total Citations
140
H-Index
7
About
Daniel A. Duecker is a leading researcher in the emerging field of **hydrobatics**—the underwater analogue of aerial acrobatics—focusing on the development of agile, autonomous micro underwater vehicles (μAUVs) for confined and hazardous environments. His most significant contribution is the creation of **HippoCampusX**, an open-source, low-cost micro AUV designed for high-maneuverability missions in spaces like nuclear storage ponds and industrial tanks. Duecker has pioneered vision-based guidance, navigation, and control (GNC) systems that enable these tiny robots to perform complex tasks, including structure inspection and environmental field exploration, all while operating under severe computational and power constraints. His work integrates Gaussian processes and stochastic optimal control for autonomous exploration, achieving over **27 citations** for his foundational platform paper. Notably, he has advanced the use of RGB-D cameras and radio-frequency localization for underwater navigation, and his research on multi-agent systems supports collaborative heterogeneous robot teams. Duecker’s contributions are critical for unlocking the potential of micro robots in confined aquatic settings, bridging the gap between theory and practical deployment.
Research Focus
Key Achievements
Top Papers
- 1HippoCampusX – A Hydrobatic Open-source Micro AUV for Confined Environments27 citations · 2020
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