Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression
Alizadeh T, Malekzadeh M, Barzegari S (2016)
Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada.
Konferenzbeitrag | Englisch
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Autor*in
Alizadeh, Tohid;
Malekzadeh, MiladUniBi;
Barzegari, Soheila
Einrichtung
Erscheinungsjahr
2016
Konferenz
IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016
Konferenzort
Banff, Canada
Konferenzdatum
2016-07-12 – 2016-07-15
Page URI
https://pub.uni-bielefeld.de/record/2907364
Zitieren
Alizadeh T, Malekzadeh M, Barzegari S. Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression. Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada.
Alizadeh, T., Malekzadeh, M., & Barzegari, S. (2016). Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression. Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada. https://doi.org/10.1109/AIM.2016.7576881
Alizadeh, Tohid, Malekzadeh, Milad, and Barzegari, Soheila. 2016. “Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression”. Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada .
Alizadeh, T., Malekzadeh, M., and Barzegari, S. (2016).“Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression”. Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada.
Alizadeh, T., Malekzadeh, M., & Barzegari, S., 2016. Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression. Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada.
T. Alizadeh, M. Malekzadeh, and S. Barzegari, “Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression”, Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada, 2016.
Alizadeh, T., Malekzadeh, M., Barzegari, S.: Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression. Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada (2016).
Alizadeh, Tohid, Malekzadeh, Milad, and Barzegari, Soheila. “Learning from demonstration with partially observable task parameters using Dynamic Movement Primitives and Gaussian Process Regression”. Presented at the IEEE International Conference on Advanced Intelligent Mechatronics (AIM) 2016, Banff, Canada, 2016.
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