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Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study.

, , , , , , and . ICRA, page 4770-4777. IEEE, (2010)

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Learning uncertainty models for reliable operation of Autonomous Underwater Vehicles., , and . ICRA, page 5593-5599. IEEE, (2013)Implementation of an embedded sensor network for the coordination of Slocum gliders for coastal monitoring and observation., , , , and . WUWNet, page 2. ACM, (2009)Risk-aware Path Planning for Autonomous Underwater Vehicles using Predictive Ocean Models., , , and . J. Field Robotics, 30 (5): 741-762 (2013)Multi-Robot Collaboration with Range-Limited Communication: Experiments with Two Underactuated ASVs., , , , , and . FSR, volume 62 of Springer Tracts in Advanced Robotics, page 443-453. Springer, (2009)Learning Uncertainty in Ocean Current Predictions for Safe and Reliable Navigation of Underwater Vehicles., , , , and . J. Field Robotics, 33 (1): 47-66 (2016)Effects of underwater communication constraints on the control of marine robot teams., , , , , , and . ROBOCOMM, page 1-8. ICST/IEEE, (2009)Human assisted robotic team campaigns for aquatic monitoring., , , , , , , , , and 5 other author(s). J. Field Robotics, 24 (11-12): 969-989 (2007)A Communication Framework for Cost-Effective Operation of AUVs in Coastal Regions., , , , , and . FSR, volume 62 of Springer Tracts in Advanced Robotics, page 433-442. Springer, (2009)Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study., , , , , , and . ICRA, page 4770-4777. IEEE, (2010)Toward risk aware mission planning for Autonomous Underwater Vehicles., , , , and . IROS, page 3147-3153. IEEE, (2011)