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- W2078278416 abstract "Autonomous mobile robots are designed to behave appropriately in changing real-world environments without human intervention. In order to satisfy the requirements of autonomy, the robots have to cope with unknown settings and issues of uncertainties in dynamic and complex environments. A first step is to provide a robot with cognitive capabilities and the ability of self-examination to detect behavioral abnormalities. Unfortunately, most existing anomaly recognition systems are neither suitable for the domain of robotic behavior nor well generalizable. In this work a novel spatial-temporal anomaly detection framework for robotic behaviors is introduced which is characterized by its high level of generalization, the semi-unsupervised manner and its high flexibility in application." @default.
- W2078278416 created "2016-06-24" @default.
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- W2078278416 date "2013-04-01" @default.
- W2078278416 modified "2023-09-24" @default.
- W2078278416 title "A framework for anomaly detection of robot behaviors" @default.
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- W2078278416 doi "https://doi.org/10.1109/robotica.2013.6623519" @default.
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