In this paper, we propose a proactive assistant robot for human assembly tasks. In order to predict future events of human activities such as requesting parts for assembly, we use the temporal Bayesian network that can infer both causal probability and temporal distribution of an conditional event. Based on the temporal Bayesian network model of an human assembly task, we also show that the proactive assistant robot make human-robot-interaction quickly by temporal prediction of an event.
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