Human modeling for human-robot collaboration
Human modeling for human-robot collaboration
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DOI：
10.1177/0278364917690592
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发表时间：
2017-06-01
影响因子：
9.2
通讯作者：
Trafton, J. Gregory
中科院分区：
文献类型：
--
作者：
Hiatt, Laura M.;Narber, Cody;Trafton, J. Gregory
当团队成员相互理解时，团队合作才是最好的。由于各个团队成员之间在精神/计算和身体上的差异，人-机器人协作对这一目标构成了特别的挑战。解决这一挑战的一种方法是开发人类队友的显式模型。在这里，我们讨论、比较和对比许多可用于建模人类认知和行为的技术，并在人-机器人协作的背景下评估它们的优点和缺点。
Teamwork is best achieved when members of the team understand one another. Human-robot collaboration poses a particular challenge to this goal due to the differences between individual team members, both mentally/computationally and physically. One way in which this challenge can be addressed is by developing explicit models of human teammates. Here, we discuss, compare and contrast the many techniques available for modeling human cognition and behavior, and evaluate their benefits and drawbacks in the context of human-robot collaboration.