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Teamwork in controlling multiple robots

机译:团队合作控制多个机器人

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摘要

Simultaneously controlling increasing numbers of robots requires multiple operators working together as a team. Helping operators allocate attention among different robots and determining how to construct the human-robot team to promote performance and reduce workload are critical questions that must be answered in these settings. To this end, we investigated the effect of team structure and search guidance on operators' performance, subjective workload, work processes and communication. To investigate team structure in an urban search and rescue setting, we compared a pooled condition, in which team members shared control of 24 robots, with a sector condition, in which each team member control half of all the robots. For search guidance, a notification was given when the operator spent too much time on one robot and either suggested or forced the operator to change to another robot. A total of 48 participants completed the experiment with two persons forming one team. The results demonstrate that automated search guidance neither increased nor decreased performance. However, suggested search guidance decreased average task completion time in Sector teams. Search guidance also influenced operators' teleoperation behaviors. For team structure, pooled teams experienced lower subjective workload than sector teams. Pooled teams communicated more than sector teams, but sector teams teleoperated more than pool teams.
机译:同时控制越来越多的机器人需要多个操作员作为一个团队一起工作。帮助操作员在不同的机器人之间分配注意力,并确定如何组建机器人团队以提高性能并减少工作量,这些都是必须解决的关键问题。为此,我们调查了团队结构和搜索指导对操作员绩效,主观工作量,工作流程和沟通的影响。为了研究在城市搜救环境中的团队结构,我们比较了集合条件(团队成员共享24个机器人的控制权)和部门条件(每个团队成员控制一半的机器人)的部门条件。为了进行搜索指导,当操作员在一个机器人上花费过多时间并且建议或强迫操作员换用另一台机器人时,会发出通知。共有48位参与者完成了实验,两个人组成了一个小组。结果表明,自动搜索指南既不会增加也不会降低性能。但是,建议的搜索指导减少了部门团队的平均任务完成时间。搜索指南也影响了运营商的远程操作行为。就团队结构而言,合并团队的主观工作量低于部门团队。集合团队进行的交流比部门团队进行的交流要多,但是部门团队进行的远比集合团队进行的远程操作。

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