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Multimodal Sparse Representation for Anomaly Classification in A Robot Introspection System.

, , , , and . ROBIO, page 1594-1600. IEEE, (2018)

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Multimodal Sparse Representation for Anomaly Classification in A Robot Introspection System., , , , and . ROBIO, page 1594-1600. IEEE, (2018)Learning human-robot collaboration insights through the integration of muscle activity in interaction motion models., , , , and . Humanoids, page 491-496. IEEE, (2017)Robust and Versatile Event Detection through Gradient-Based Scoring of HMM Models., , , , , and . CoRR, (2017)Dynamic Interaction Probabilistic Movement Primitives., , , , , and . RCAR, page 98-105. IEEE, (2019)Anytime, Anywhere Anomaly Recovery through an Online Robot Introspection Framework., , , , , , and . CoRR, (2017)Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation Through Grounded Anomaly Classification and Recovery Policies., , , , and . J. Intell. Robotic Syst., 101 (3): 51 (2021)Fast, robust, and versatile event detection through HMM belief state gradient measures., , , , , and . RO-MAN, page 1-8. IEEE, (2018)Recovering from External Disturbances in Online Manipulation through State-Dependent Revertive Recovery Policies., , , , , and . RO-MAN, page 166-173. IEEE, (2018)Learning Human-Robot Collaboration Insights through the Integration of Muscle Activity in Interaction Motion Models., , , and . CoRR, (2017)Collaborative Human-Robot Motion Generation Using LSTM-RNN., , , , and . Humanoids, page 1-9. IEEE, (2018)