Managing autonomy in robot teams: Observations from four experiments
Managing autonomy in robot teams: Observations from four experiments
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管理机器人团队的自主权：四个实验的观察结果
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
J. Crandall
中科院分区：
文献类型：
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作者：
M. Goodrich;T. McLain;Jeffrey D. Anderson;Jisang Sun;J. Crandall
通常需要一个人来管理多个机器人。需要自治来将工作负载保持在可容忍的范围内，并且动态地适应自治的类型对于响应环境和工作负载变化可能是有用的。我们确定了两种管理风格，管理多个机器人，并从四个实验中有相关的动态自主性，这两种管理风格的结果。这些实验涉及80名受试者，表明个人和团队的自主性受益于注意力管理辅助工具，适应性自主性和适当的信息提取。
It is often desirable for a human to manage multiple robots. Autonomy is required to keep workload within tolerable ranges, and dynamically adapting the type of autonomy may be useful for responding to environment and workload changes. We identify two management styles for managing multiple robots and present results from four experiments that have relevance to dynamic autonomy within these two management styles. These experiments, which involved 80 subjects, suggest that individual and team autonomy benefit from attention management aids, adaptive autonomy, and proper information abstraction.