Abstract

This paper addresses a novel assist paradigm for cooperative tasks by multiple operators. The assist is based on Concern For Others: CFO defined as the difference between t of input command of a cooperative task and of the solo task with same manner. The input command in the solo task is estimated by human model with recurrent neural networks. Thus, the CFO can be measured in real time during the cooperative task. In this paper, the quantification technique for CFO is proposed and the validity of the CFO is verified.

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