Sean Linnaeus Barton
Sean Linnaeus Barton
Research Scientist, Minnesota Management and Budget
Verified email at - Homepage
Cited by
Cited by
The critical phase for visual control of human walking over complex terrain
JS Matthis, SL Barton, BR Fajen
Proceedings of the National Academy of Sciences 114 (32), E6720-E6729, 2017
The biomechanics of walking shape the use of visual information during locomotion over complex terrain
JS Matthis, SL Barton, BR Fajen
Journal of vision 15 (3), 10-10, 2015
Visual regulation of gait: Zeroing in on a solution to the complex terrain problem.
SL Barton, JS Matthis, BR Fajen
Journal of Experimental Psychology: Human Perception and Performance 43 (10 …, 2017
Measuring collaborative emergent behavior in multi-agent reinforcement learning
SL Barton, NR Waytowich, E Zaroukian, DE Asher
International Conference on Human Systems Engineering and Design: Future …, 2018
The pickup of visual information about size and location during approach to an obstacle
GJ Diaz, MS Parade, SL Barton, BR Fajen
Plos one 13 (2), e0192044, 2018
Control strategies for rapid, visually guided adjustments of the foot during continuous walking
SL Barton, JS Matthis, BR Fajen
Experimental brain research 237 (7), 1673-1690, 2019
Evaluating the Coordination of Agents in Multi-agent Reinforcement Learning
SL Barton, E Zaroukian, DE Asher, NR Waytowich
International Conference on Intelligent Human Systems Integration, 765-770, 2019
Grounding natural language commands to StarCraft II game states for narration-guided reinforcement learning
N Waytowich, SL Barton, V Lawhern, E Stump, G Warnell
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019
Reinforcement learning framework for collaborative agents interacting with soldiers in dynamic military contexts
SL Barton, D Asher
Next-Generation Analyst VI 10653, 1065303, 2018
Algorithmically identifying strategies in multi-agent game-theoretic environments
E Zaroukian, SS Rodriguez, SL Barton, JA Schaffer, B Perelman, ...
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019
Effect of cooperative team size on coordination in adaptive multi-agent systems
DE Asher, SL Barton, E Zaroukian, NR Waytowich
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019
Coordination-driven learning in multi-agent problem spaces
SL Barton, NR Waytowich, DE Asher
arXiv preprint arXiv:1809.04918, 2018
Biomechanical and visual constraints on rapid adjustments to foot placement during continuous locomotion
S Barton, J Matthis, E Hinojosa, D Brion, B Fajen
Journal of Vision 16 (12), 767-767, 2016
The critical period for the visual control of foot placement in complex terrain occurs in the preceding step
J Matthis, S Barton, B Fajen
Journal of Vision 14 (10), 3-3, 2014
A narration-based reward shaping approach using grounded natural language commands
N Waytowich, SL Barton, V Lawhern, G Warnell
arXiv preprint arXiv:1911.00497, 2019
Adapting the predator-prey game theoretic environment to army tactical edge scenarios with computational multiagent systems
DE Asher, E Zaroukian, SL Barton
arXiv preprint arXiv:1807.05806, 2018
Towards understanding visually guided locomotion over complex and rough terrain: A phase-space planning method
Y Zhao, JS Matthis, SL Barton, M Hayhoe, L Sentis
2017 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), 1-3, 2017
Learning to Coordinate a Redundant Motor System: The Role of Postural Comfort
SL Barton
Rensselaer Polytechnic Institute, 2014
Demonstration and quantification of memory-guided saccades in the common marmoset (with comparison to the macaque)
HC Carney, E Hart, AC Huk
Journal of Vision 19 (10), 86a-86a, 2019
The span of visible terrain for walking over multiple raised obstacles
B Fajen, ST Steinmetz, MJ Uszacki, SL Barton, GJ Diaz
Journal of Vision 19 (10), 178a-178a, 2019
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