An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations

Due to real-world dynamics and hardware uncertainty, robots inevitably fail in task executions, resulting in undesired or even dangerous executions. In order to avoid failures and improve robot performance, it is critical to identify and correct abnormal robot executions at an early stage. However,...

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Hauptverfasser:	Song, Boyi, Peng, Yuntao, Luo, Ruijiao, Liu, Rui
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Human-Computer Interaction Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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