A Task Allocation Approach for Human-Robot Collaboration in Product Defects Inspection Scenarios
A Task Allocation Approach for Human-Robot Collaboration in Product Defects Inspection Scenarios
复制标题
产品缺陷检测场景中人机协作的任务分配方法
DOI:
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发表时间:
2020
期刊:
影响因子:
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通讯作者:
F. Mastrogiovanni
中科院分区:
文献类型:
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作者:
Hossein Karami;Kourosh Darvish;F. Mastrogiovanni
The presence and coexistence of human operators and collaborative robots in shop-floor environments raises the need for assigning tasks to either operators or robots, or both. Depending on task characteristics, operator capabilities and the involved robot functionalities, it is of the utmost importance to design strategies allowing for the concurrent and/or sequential allocation of tasks related to object manipulation and assembly. In this paper, we extend the FLEXHRC framework presented in [1] to allow a human operator to interact with multiple, heterogeneous robots at the same time in order to jointly carry out a given task. The extended FLEXHRC framework leverages a concurrent and sequential task representation framework to allocate tasks to either operators or robots as part of a dynamic collaboration process. In particular, we focus on a use case related to the inspection of product defects, which involves a human operator, a dual-arm Baxter manipulator from Rethink Robotics and a Kuka youBot mobile manipulator.