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Sensor-based Behavior Control for an Autonomous Underwater VehicleCentre for Intelligent Machines, McGill University, Montreal, QC, Canada H3A 2A7, junaed{at}cim.mcgill.ca
Centre for Intelligent Machines, McGill University, Montreal, QC, Canada H3A 2A7 philg{at}cim.mcgill.ca
Centre for Intelligent Machines, McGill University, Montreal, QC, Canada H3A 2A7 dudek{at}cim.mcgill.ca In this paper, we evaluate a set of core functions that allow an underwater robot to perform surveillance under operator control. Specifically, we are interested in behaviors that facilitate the monitoring of organisms on a coral reef, and we present behaviors and interaction modes for a small underwater robot. In particular, we address some challenging issues arising from the underwater environment: visual processing, interactive communication with an underwater crew and, finally, orientation and motion of the vehicle through a hovering mode. The visual processing consists of target tracking using various techniques (color segmentation, color histogram and mean shift). Communication underwater is achieved through printed cards with robustly identifiable visual markers on them. Finally, the hovering gait developed for this vehicle relies on the planned motion of six flippers to generate the appropriate forces.
Key Words: Underwater robotics computer vision visual human-robot interaction visual servoing swimming robots symbolic languages adaptive gait control
The International Journal of Robotics Research, Vol. 28, No. 6,
701-713 (2009) |
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