Heterogeneous multi-robot system for exploration and strategic water sampling
Physical sampling of water for off-site analysis is necessary for many applications like
monitoring the quality of drinking water in reservoirs, understanding marine ecosystems, and …
monitoring the quality of drinking water in reservoirs, understanding marine ecosystems, and …
Information-guided robotic maximum seek-and-sample in partially observable continuous environments
We present P lume L ocalization under U ncertainty using M aximum-Valu E information and
S earch (PLUMES), a planner for localizing and collecting samples at the global maximum of …
S earch (PLUMES), a planner for localizing and collecting samples at the global maximum of …
Uivnav: Underwater information-driven vision-based navigation via imitation learning
Autonomous navigation in the underwater environment is challenging due to limited
visibility, dynamic changes, and the lack of a cost-efficient, accurate localization system. We …
visibility, dynamic changes, and the lack of a cost-efficient, accurate localization system. We …
Oysternet: Enhanced oyster detection using simulation
Oysters play a pivotal role in the bay living ecosystem and are considered the living filters for
the ocean. In recent years, oyster reefs have undergone major devastation caused by …
the ocean. In recent years, oyster reefs have undergone major devastation caused by …
Odyssee: Oyster detection yielded by sensor systems on edge electronics
Oysters are a vital keystone species in coastal ecosystems, providing significant economic,
environmental, and cultural benefits. As the importance of oysters grows, so does the …
environmental, and cultural benefits. As the importance of oysters grows, so does the …
Oystersim: Underwater simulation for enhancing oyster reef monitoring
Oysters are the living vacuum cleaners of the oceans. There is an exponential decline in the
oyster population due to over-harvesting. With the current development of the automation …
oyster population due to over-harvesting. With the current development of the automation …
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods
Successful applications of complex vision-based behaviours underwater have lagged
behind progress in terrestrial and aerial domains. This is largely due to the degraded image …
behind progress in terrestrial and aerial domains. This is largely due to the degraded image …
A data-driven deployment approach for persistent monitoring in aquatic environments
Processes of scientific interest in the aquatic environment occur across multiple spatio-
temporal time scales. To properly assess and understand these processes, we must observe …
temporal time scales. To properly assess and understand these processes, we must observe …
Data correlation and comparison from multiple sensors over a coral reef with a team of heterogeneous aquatic robots
This paper presents experimental insights from the deployment of an ensemble of
heterogeneous autonomous sensor systems over a shallow coral reef. Visual, inertial, GPS …
heterogeneous autonomous sensor systems over a shallow coral reef. Visual, inertial, GPS …
Riverine coverage with an autonomous surface vehicle over known environments
N Karapetyan, A Braude, J Moulton… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
Environmental monitoring and surveying operations on rivers currently are performed
primarily with manually-operated boats. In this domain, autonomous coverage of areas is of …
primarily with manually-operated boats. In this domain, autonomous coverage of areas is of …