5 papers
AquaVis: A Perception-Aware Autonomous Navigation Framework for Underwater Vehicles
Marios Xanthidis, Michail Kalaitzakis, Nare Karapetyan +4
Visual monitoring operations underwater require both observing the objects of interest in close-proximity, and tracking the few feature-rich areas necessary for state estimation.Th…
DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
Bharat Joshi, Md Modasshir, Travis Manderson +5
In this paper, we propose a real-time deep learning approach for determining the 6D relative pose of Autonomous Underwater Vehicles (AUV) from a single image. A team of autonomous…
Experimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domain
Bharat Joshi, Sharmin Rahman, Michail Kalaitzakis +8
A plethora of state estimation techniques have appeared in the last decade using visual data, and more recently with added inertial data. Datasets typically used for evaluation inc…
Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle
Marios Xanthidis, Nare Karapetyan, Hunter Damron +5
Navigation underwater traditionally is done by keeping a safe distance from obstacles, resulting in "fly-overs" of the area of interest. Movement of an autonomous underwater vehicl…
Dynamically Efficient Kinematics for Hyper-Redundant Manipulators
Marios P. Xanthidis, Kostantinos J. Kyriakopoulos, Ioannis Rekleitis
A hyper-redundant robotic arm is a manipulator with many degrees of freedom, capable of executing tasks in cluttered environments where robotic arms with fewer degrees of freedom a…