Acquiring everyday manipulation skills through games – Related work

Publications

[1] Andrei Haidu, Michael Beetz, "Action Recognition and Interpretation from Virtual Demonstrations", In International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016. [bib] [pdf]
[2] Andrei Haidu, Daniel Kohlsdorf, Michael Beetz, "Learning Action Failure Models from Interactive Physics-based Simulations", In Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015. [bib] [pdf]
[3] Lars Kunze, Michael Beetz, "Envisioning the qualitative effects of robot manipulation actions using simulation-based projections", In Artificial Intelligence, 2015. [bib] [pdf] [doi]
[4] Andrei Haidu, Daniel Kohlsdorf, Michael Beetz, "Learning Task Outcome Prediction for Robot Control from Interactive Environments", In Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Chicago, USA, 2014. [bib] [pdf]
[5] Moritz Tenorth, Michael Beetz, "KnowRob -- A Knowledge Processing Infrastructure for Cognition-enabled Robots", In Int. Journal of Robotics Research, vol. 32, no. 5, pp. 566 - 590, 2013. [bib] [pdf]
[6] Lars Kunze, Andrei Haidu, Michael Beetz, "Acquiring task models for imitation learning through games with a purpose", In Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pp. 102-107, 2013. [bib] [pdf]
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