A survey of robot learning from demonstration
Argall, Brenna D., Chernova, Sonia, Veloso, Manuela, Browning, Brett·2009·Robotics and Autonomous Systems
Cited by (1,009)
Items 301–400 of 1,009
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- Towards a Platform-Independent Cooperative Human Robot Interaction System: III An Architecture for Learning and Executing Actions and Shared PlansStéphane Lallée, Ugo Pattacini, Séverin Lemaignan, A. Lenz, Chris Melhuish, Lorenzo Natale, Sergey Skachek, Katharina Hamann, Jasmin Steinwender, Emrah Akin Sisbot et al. · 2012 · IEEE Transactions on Autonomous Mental Development
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- Bayesian Nonparametric Reward Learning From DemonstrationBernard Michini, Thomas J. Walsh, Ali–akbar Agha–mohammadi, Jonathan P. How · 2015 · IEEE Transactions on Robotics
- Human-Robot InteractionKeith S. Jones, Elizabeth A. Schmidlin · 2011 · Reviews of Human Factors and Ergonomics
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