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G
Gienger, M.
,
M. Muehlig
, and
J. J. Steil
,
"
A Task-Level Control Approach for Human-Robot Interaction - Exploiting Generalization and Invariance
",
IEEE Conf. Intelligent Robotic Systems
, Taipeh, IEEE, pp. 1262-1269, 10/2010.
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Download:
GiengerMuehligSteil_IROS2010draft.pdf
(1018.22 KB)
Gienger, M.
,
M. Muehlig
, and
J. J. Steil
,
"
Robot with automatic selection of task-specific representations for imitation learning
",
European Patent Office
, G05B19/42, 2011.
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Gieselmann, S.
,
"
Remembering interaction episodes: an unsupervised learning approach for a humanoid robot
",
Humanoids 2010
, Nashville/Tennessee, Humanoids 2010, 12/2010.
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Gieselmann, S.
,
Social Background Behavior(SBB) for anthropomorphic robots
,
, Boston, USA, HUROBINT@MIT, 2009.
Abstract
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Gieselmann, S.
,
"
Remembering interaction episodes: an unsupervised learning approach for a humanoid robot
",
Humanoids 2010
, Nashville/Tennessee, CoR-Lab, 12/2010.
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Goetting, M.
,
J. J. Steil
,
H. Wersing
,
E. Koerner
, and
H. Ritter
,
"
Adaptive scene-dependent filters in online learning environments.
",
Proc. Eur. Symposium Artif. Neural Networks ESANN 2006
, pp. 101-106, Apr, 2006.
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Golombek, R.
,
S. Wrede
, and
M. Hanheide
,
A Probabilistic Model for Self-Awareness in an Event-Based Intelligent System
,
, Bielefeld, Research Institute for Cognition and Robotics, 2009.
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TR-ICAC09-APM.pdf
(235.04 KB)
Golombek, R.
,
S. Wrede
,
M. Hanheide
, and
M. Heckmann
,
"
A Method for learning a Fault Detection Model from Component Communication Data in Robotic Systems
",
Seventh IARP Workshop on Technical Challenges for Dependable Robots in Human Environments
, Toulouse, France, 2010.
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Golombek, R.
,
S. Wrede
,
M. Hanheide
, and
M. Heckmann
,
"
Online Data-Driven Fault Detection for Robotic Systems
",
IEEE/RSJ International Conference on Intelligent Robots and Systems
, San Francisco, USA, 2011.
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Golombek, R.
,
S. Wrede
,
M. Hanheide
, and
M. Heckmann
,
"
Learning a Probabilistic Error Detection Model for Robotic Systems
",
IEEE/RSJ International Conference on Intelligent Robots and Systems
, Taipei, Taiwan, 10/2010.
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Grahl, M.
,
F. Joublin
, and
F. Kummert
,
"
A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues
",
Artificial Neural Networks - ICANN 2010
, vol. 6353: Springer, pp. 492-497, 2010.
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Grahl, M.
,
F. Joublin
, and
F. Kummert
,
"
A method for visual model learning during tracking
",
Australian Journal of Intelligent Information Systems (AJIIPS)
, vol. 11, 11/2010.
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News
Blog articles about the work with the Bionic Handling Assistant
CoR-Lab coordinated FP7-EU project AMARSi has successful review meeting
Klaus Neumann receives best student paper award at ESANN'13 in Bruges
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