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Underwater gliders constitute a technology in active development, which has proven very promising in Ocean Research because of its relative low cost and long mission range. Due to their low surge speed, however, gliders are strongly affected by ocean currents, making path planning a crucial tool for this type of vehicles. In this work, we present a novel path planning algorithm for gliders based on iterative optimization that shows promising results in realistic simulations. This method reflects accurately the vehicle operation pattern and exhibits a better performance when compared with alternative approaches that are compared in this paper.

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This work presents a small and affordable autonomous sailboat platform designed to be transported and operated by one or two people without any special means. The sailboat is based on a RC One Meter class vessel equipped with a low power 8-bit microcontroller board and a set of navigation sensors (compass, GPS, wind vane, ...) and a 868 MHz RF module.It has been designed to serve as a low cost replicable testbed platform for research in autonomous sailing. The embedded control system makes the sailboat completely autonomous to sail a route determined as a sequence of waypoints, adapting its sailing point dynamically to wind conditions. The control system is completed with an off-board base station that permits to monitor and control the boat or defining a new route. The system is characterized by its long autonomy and robustness in case of communication failures.