4 papers
AquaBEV-Nav: Learned BEV Occupancy for Underwater Navigation and Exploration
Trung Tien Dong, Zhenqi Wu, Sahasra Kondapalli +3
Safe underwater exploration requires a robot to understand where surrounding structures are located and which regions are available for motion. Existing vision-based underwater exp…
CAVE-NAV: VLM-Based Autonomous 3D Navigation in Underwater Cave Environments
Zhenqi Wu, Yuanjie Lu, Yisheng Zhang +4
Autonomous navigation in underwater cave environments is essential for search-and-rescue operations, scientific exploration, and emergency egress. Traditional navigation systems co…
CORAL: COntextual Reasoning And Local Planning in A Hierarchical VLM Framework for Underwater Monitoring
Zhenqi Wu, Yuanjie Lu, Xuesu Xiao +1
Oyster reefs are critical ecosystem species that sustain biodiversity, filter water, and protect coastlines, yet they continue to decline globally. Restoring these ecosystems requi…
DREAM: Domain-aware Reasoning for Efficient Autonomous Underwater Monitoring
Zhenqi Wu, Abhinav Modi, Angelos Mavrogiannis +6
The ocean is warming and acidifying, increasing the risk of mass mortality events for temperature-sensitive shellfish such as oysters. This motivates the development of long-term m…