Autonomous task assignment of multiple operators for human robot interaction
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This paper reports some extensions to recent results in attention allocation and task assignment schemes in human robot interaction. The general scenario of task processing by multiple human operators is considered. Motivated by the single operator model, an optimization problem is posed to provide task processing and attention allocation solutions for multiple operators with appropriate performance measures. An alternative formulation is proposed to simplify the resulting optimization problem and reduce the dimensionality of the policy space. Numerical examples are shown to demonstrate the utility of the proposed formulation.
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