作者: Huadong Wang , Andreas Kolling , Nathan Brooks , Michael Lewis , Katia Sycara
DOI: 10.1007/978-3-642-22024-1_46
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摘要: In this paper, we discuss and investigate the advantages of an asynchronous display, called image queue, for foraging tasks with emphasis on Urban Search Rescue. The queue approach mines video data to present operator a relevant comprehensive view environment, which helps user identify targets interest such as injured victims. This allows operators search through large amount gathered by autonomous robot teams, fills gap scalable displays obtain network-centric perspective UGVs. It is found that reduces errors operator's workload comparing traditional synchronous display. Furthermore, it disentangles target detection from concurrent system operations enables call center detection. With approach, could scale up larger multirobot systems gathering huge amounts multiple operators.