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Augmented Terrain-Based Navigation to Enable Persistent Autonomy for Underwater Vehicles.

, , , , and . IRC, page 292-298. IEEE Computer Society, (2017)

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Implementation of an embedded sensor network for the coordination of Slocum gliders for coastal monitoring and observation., , , , and . WUWNet, page 2. ACM, (2009)Localization in Seemingly Sensory-Denied Environments through Spatio-Temporal Varying Fields., , and . IRC, page 142-147. IEEE, (2022)Ocean Glider Path Planning Based on Automatic Structure Detection and Tracking., , , , , , , and . EUROCAST, volume 9520 of Lecture Notes in Computer Science, page 714-719. Springer, (2015)Computing Feedback Plans from Dynamical System Composition., , , , and . CASE, page 1175-1180. IEEE, (2019)Glider Path-Planning for Optimal Sampling of Mesoscale Eddies., , , , , , and . EUROCAST (2), volume 8112 of Lecture Notes in Computer Science, page 321-325. Springer, (2013)Data Correlation and Comparison from Multiple Sensors Over a Coral Reef with a Team of Heterogeneous Aquatic Robots., , , , , , , , and . ISER, volume 1 of Springer Proceedings in Advanced Robotics, page 717-728. Springer, (2016)Augmented Terrain-Based Navigation to Enable Persistent Autonomy for Underwater Vehicles., , , , and . IRC, page 292-298. IEEE Computer Society, (2017)Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions from a Regional Ocean Model., , , , , and . Int. J. Robotics Res., 29 (12): 1475-1497 (2010)Predictive motion planning for AUVs subject to strong time-varying currents and forecasting uncertainties., , and . ICRA, page 1144-1151. IEEE, (2015)Wind-energy based path planning for Unmanned Aerial Vehicles using Markov Decision Processes., , and . ICRA, page 784-789. IEEE, (2013)