Ryan N. Smith
Ryan N. Smith
Associate Professor, Fort Lewis College
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Persistent ocean monitoring with underwater gliders: Adapting sampling resolution
RN Smith, M Schwager, SL Smith, BH Jones, D Rus, GS Sukhatme
Journal of Field Robotics 28 (5), 714-741, 2011
Planning and implementing trajectories for autonomous underwater vehicles to track evolving ocean processes based on predictions from a regional ocean model
RN Smith, Y Chao, PP Li, DA Caron, BH Jones, GS Sukhatme
The International Journal of Robotics Research 29 (12), 1475-1497, 2010
Future trends in marine robotics [tc spotlight]
F Zhang, G Marani, RN Smith, HT Choi
IEEE Robotics & Automation Magazine 22 (1), 14-122, 2015
Wind-energy based path planning for unmanned aerial vehicles using markov decision processes
WH Al-Sabban, LF Gonzalez, RN Smith
2013 IEEE International conference on robotics and automation, 784-789, 2013
Quantifying multiscale habitat structural complexity: a cost-effective framework for underwater 3D modelling
R Ferrari, D McKinnon, H He, RN Smith, P Corke, M González-Rivero, ...
Remote Sensing 8 (2), 113, 2016
Design and implementation of time efficient trajectories for autonomous underwater vehicles
M Chyba, T Haberkorn, RN Smith, SK Choi
Ocean Engineering 35 (1), 63-76, 2008
Autonomous underwater vehicle trajectory design coupled with predictive ocean models: A case study
RN Smith, A Pereira, Y Chao, PP Li, DA Caron, BH Jones, GS Sukhatme
2010 IEEE International Conference on Robotics and Automation, 4770-4777, 2010
USC CINAPS builds bridges
RN Smith, EC Das, H Heidarsson, AM Pereira, F Arrichiello, I Cetnic, ...
IEEE Robotics & Automation Magazine 17 (1), 20-30, 2010
Predictive motion planning for AUVs subject to strong time-varying currents and forecasting uncertainties
VT Huynh, M Dunbabin, RN Smith
2015 IEEE international conference on robotics and automation (ICRA), 1144-1151, 2015
Heterogeneous multi-robot system for exploration and strategic water sampling
S Manjanna, AQ Li, RN Smith, I Rekleitis, G Dudek
2018 IEEE International Conference on Robotics and Automation (ICRA), 4873-4880, 2018
Increasing underwater vehicle autonomy by reducing energy consumption
M Chyba, T Haberkorn, SB Singh, RN Smith, SK Choi
Ocean Engineering 36 (1), 62-73, 2009
Controlling buoyancy-driven profiling floats for applications in ocean observation
RN Smith, VT Huynh
IEEE Journal of Oceanic Engineering 39 (3), 571-586, 2013
Predicting wave glider speed from environmental measurements
RN Smith, J Das, G Hine, W Anderson, GS Sukhatme
OCEANS'11 MTS/IEEE KONA, 1-8, 2011
Towards automated and in-situ, near-real time 3-D reconstruction of coral reef environments
D McKinnon, H He, B Upcroft, RN Smith
OCEANS'11 MTS/IEEE KONA, 1-10, 2011
Towards the improvement of autonomous glider navigational accuracy through the use of regional ocean models
RN Smith, J Kelly, Y Chao, BH Jones, GS Sukhatme
International Conference on Offshore Mechanics and Arctic Engineering 49125 …, 2010
Trajectory design for autonomous underwater vehicles based on ocean model predictions for feature tracking
RN Smith, Y Chao, BH Jones, DA Caron, PP Li, GS Sukhatme
Field and Service Robotics: Results of the 7th International Conference, 263-273, 2010
Adaptive path planning for tracking ocean fronts with an autonomous underwater vehicle
RN Smith, P Cooksey, F Py, GS Sukhatme, K Rajan
Experimental Robotics: The 14th International Symposium on Experimental …, 2016
Predicting the speed of a wave glider autonomous surface vehicle from wave model data
P Ngo, J Das, J Ogle, J Thomas, W Anderson, RN Smith
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
Towards Improving Mission Execution for Autonomous Gliders with an Ocean Model and Kalman Filter
RN Smith, J Kelly, GS Sukhatme
IEEE International Conference on Robotics and Automation, 2012
A data-driven deployment approach for persistent monitoring in aquatic environments
T Alam, GM Reis, L Bobadilla, RN Smith
2018 second IEEE international conference on robotic computing (IRC), 147-154, 2018
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