Articles avec mandats d'accès public - Geoffrey HollingerEn savoir plus
Non disponibles : 7
Ocean front detection and tracking using a team of heterogeneous marine vehicles
S McCammon, G Marcon dos Santos, M Frantz, TP Welch, G Best, ...
Journal of Field Robotics 38 (6), 854-881, 2021
Exigences : US National Science Foundation, US Department of Defense
Human–robot planning and learning for marine data collection
T Somers, GA Hollinger
Autonomous Robots 40, 1123-1137, 2016
Exigences : US National Science Foundation
Planning energy-efficient trajectories in strong disturbances
D Jones, GA Hollinger
IEEE Robotics and Automation Letters 2 (4), 2080-2087, 2017
Exigences : US Department of Energy, US Department of Defense, US Department of Agriculture
Real-time distributed non-myopic task selection for heterogeneous robotic teams
AJ Smith, G Best, J Yu, GA Hollinger
Autonomous Robots 43, 789-811, 2019
Exigences : US Department of Defense, US National Aeronautics and Space Administration
Collaborating underwater vehicles conducting large-scale geospatial tasks
MJ Kuhlman, D Jones, DA Sofge, GA Hollinger, SK Gupta
IEEE Journal of Oceanic Engineering 46 (3), 785-807, 2021
Exigences : US National Science Foundation, US Department of Defense
Parallelized control-aware motion planning with learned controller proxies
S Chow, D Chang, GA Hollinger
IEEE Robotics and Automation Letters 8 (4), 2237-2244, 2023
Exigences : US Department of Defense
Denoising autoencoders for laser-based scan registration
A Nicolai, GA Hollinger
IEEE Robotics and Automation Letters 3 (4), 4391-4398, 2018
Exigences : US National Aeronautics and Space Administration
Disponibles quelque part : 55
Model predictive control for underwater robots in ocean waves
DC Fernández, GA Hollinger
IEEE Robotics and Automation letters 2 (1), 88-95, 2016
Exigences : US Department of Energy
Autonomous data collection using a self-organizing map
J Faigl, GA Hollinger
IEEE transactions on neural networks and learning systems 29 (5), 1703-1715, 2017
Exigences : US National Science Foundation
Distributed inference-based multi-robot exploration
AJ Smith, GA Hollinger
Autonomous Robots 42 (8), 1651-1668, 2018
Exigences : US Department of Defense, US National Aeronautics and Space Administration
Learning uncertainty in ocean current predictions for safe and reliable navigation of underwater vehicles
GA Hollinger, AA Pereira, J Binney, T Somers, GS Sukhatme
Journal of Field Robotics 33 (1), 47-66, 2016
Exigences : US National Science Foundation
Active classification: Theory and application to underwater inspection
GA Hollinger, U Mitra, GS Sukhatme
Robotics Research: The 15th International Symposium ISRR, 95-110, 2017
Exigences : US National Science Foundation, US Department of Defense
Deep learning for laser based odometry estimation
A Nicolai, R Skeele, C Eriksen, GA Hollinger
RSS workshop Limits and Potentials of Deep Learning in Robotics 184, 1, 2016
Exigences : US National Aeronautics and Space Administration
Deep learning of structured environments for robot search
JA Caley, NRJ Lawrance, GA Hollinger
Autonomous Robots 43, 1695-1714, 2019
Exigences : US Department of Defense
Modeling user expertise for choosing levels of shared autonomy
L Milliken, GA Hollinger
2017 IEEE International Conference on Robotics and Automation (ICRA), 2285-2291, 2017
Exigences : US National Science Foundation
Bin-dog: A robotic platform for bin management in orchards
Y Ye, Z Wang, D Jones, L He, ME Taylor, GA Hollinger, Q Zhang
Robotics 6 (2), 12, 2017
Exigences : US National Science Foundation, US National Aeronautics and Space …
Online exploration of tunnel networks leveraging topological CNN-based world predictions
M Saroya, G Best, GA Hollinger
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Exigences : US National Science Foundation, US Department of Defense
Risk-aware graph search with dynamic edge cost discovery
JJ Chung, AJ Smith, R Skeele, GA Hollinger
The International Journal of Robotics Research 38 (2-3), 182-195, 2019
Exigences : US Department of Defense, US National Aeronautics and Space Administration
Resilient multi-sensor exploration of multifarious environments with a team of aerial robots
G Best, R Garg, J Keller, GA Hollinger, S Scherer
Robotics: Science and Systems (RSS), 2022
Exigences : US Department of Defense
A multiagent framework for learning dynamic traffic management strategies
JJ Chung, C Rebhuhn, C Yates, GA Hollinger, K Tumer
Autonomous Robots 43, 1375-1391, 2019
Exigences : US National Aeronautics and Space Administration
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