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This paper describes an adaptive task assignment method for a team of fully distributed mobile robots with initially identical functionalities in unknown task environments.
The task assignment and control were methods at the organizational level, based on power differences: energy saving was presented as a task for the drivers, which was monitored by their local supervisor.
The theoretical methods underlying these applications were information, (physical) facilitation, model demonstrations, task assignment and control, and feedback.
Further, universal generating function (UGF) method was used to calculate the experience, and decision rule was designed for the dynamic maintenance task assignment.
We investigate two task assignment schemes: picture-level assignment and view-level assignment.
An approach by task assignment is presented to determine processing system structures in chemical process design.
Here, the differences in the assignment of structural domains are evaluated using six common assignment methods.
Two assignment methods are developed and compared each other.
This paper presents a state-of-art of the existing task assignment policies.
Integrating vehicle task assignment with purchase decisions is made challenging by the different time scales involved.
The continuous component of the problem is captured by task execution, and the combinatorial component is captured by task assignment.
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