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Behavior / Humanoid robot / Industrial robot / Human–robot interaction / Reinforcement learning / Mobile robot / Robot / Machine learning / Reinforcement / Technology / Robotics / Artificial intelligence


Human-Robot Cross-Training: Computational Formulation, Modeling and Evaluation of a Human Team Training Strategy Stefanos Nikolaidis Julie Shah
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Document Date: 2013-06-21 14:09:34


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File Size: 2,79 MB

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Washington / DC / Berlin / Cambridge / Richland / New York / /

Company

Pearson / Group B. Each / IEEE Press / Autonomous Systems / MIT Press / Group B / Group A / ACM Press / Artificial Intelligence Laboratory / /

Country

United States / /

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Facility

Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge / /

IndustryTerm

reinforcement learning algorithm / inverse reinforcement learning algorithms / cross-training algorithm / reinforcement learning algorithms / task-execution software / active learning systems / mental model elicitation tool / industrial robotic systems / assigned / intensity applications / model-free algorithm / /

MarketIndex

TAMER / /

Organization

Department of Aeronautics / Institute of Technology Cambridge / Human Team Training Strategy Stefanos Nikolaidis Julie Shah Department of Aeronautics / pp. / Massachusetts Institute of Technology / American Psychological Association / /

Person

Julie Shah / /

Position

model designer / team member / human teacher / human worker / Forward / independent analyst / human co-worker / /

ProvinceOrState

South Carolina / Massachusetts / /

Technology

reinforcement learning algorithms / inverse reinforcement learning algorithms / model-free algorithm / artificial intelligence / HumanRobot Cross-training algorithm / Machine Learning / simulation / reinforcement learning algorithm / Cross-Training Algorithm / Manufacturing Technology / GUI / /

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http /

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