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New potential applications of autonomous underwater vehicles (AUVs) involve operations in unknown and cluttered environments, therefore increasing the vehicle exposure to collisions. To cope with these situations, we use an AUV framework for planning collision-free paths in unknown environments, which adapt and replan the paths according to nearby obstacles perceived during the mission execution using...
In this paper, we propose a path planning framework for underwater exploration and rugosity estimation using Autonomous Underwater Vehicles (AUVs). Rugosity, a measure of variation in the height of a surface, is commonly used to characterize seafloor habitat. The goal of this work is to optimize the survey of an unknown area in order to efficiently estimate its rugosity. To this end, we propose a...
This paper introduces a manipulator robot surface following algorithm using a 3D model of vehicle body panels acquired by a network of rapid but low resolution RGB-D sensors. The main objective of this work is to scan and dynamically explore regions of interest over an automotive vehicle body under visual guidance by closely following the surface curves and maintaining close proximity to the object...
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